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Office of Scientific and Technical Information
Artificial Intelligence
E-Print Network (OSTI)
This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence is, and to make a commentary on the state of the art. It next presents an overview of AI technology and explains some existing programs in Japan, England and the United States to evolve that technology further. It then examines application issues for AI technology, specifically focusing on how to identify potential AI projects. And finally, the paper examines some of the myths surrounding artificial intelligence and some of the barriers inhibiting its commercial introduction.
Appleton, D. S.
6.034 Artificial Intelligence, Fall 2006
6.034 is the header course for the department's "Artificial Intelligence and Applications" concentration. This course introduces students to the basic knowledge representation, problem solving, and learning methods of ...
Winston, Patrick Henry
Artificial Intelligence Techniques for Steam Generator Modelling
This paper investigates the use of different Artificial Intelligence methods to predict the values of several continuous variables from a Steam Generator. The objective was to determine how the different artificial intelligence methods performed in making predictions on the given dataset. The artificial intelligence methods evaluated were Neural Networks, Support Vector Machines, and Adaptive Neuro-Fuzzy Inference Systems. The types of neural networks investigated were Multi-Layer Perceptions, and Radial Basis Function. Bayesian and committee techniques were applied to these neural networks. Each of the AI methods considered was simulated in Matlab. The results of the simulations showed that all the AI methods were capable of predicting the Steam Generator data reasonably accurately. However, the Adaptive Neuro-Fuzzy Inference system out performed the other methods in terms of accuracy and ease of implementation, while still achieving a fast execution time as well as a reasonable training time.
Wright, Sarah
Artificial Intelligence and Environmental Decision Support Systems
Science Conference Proceedings (OSTI)
An effective protection of our environment is largely dependent on the quality of the available information used to make an appropriate decision. Problems arise when the quantities of available information are huge and nonuniform (i.e., coming from many ... Keywords: artificial intelligence, environmental decision support systems, problem solving
U. Cort�s; M. S�nchez-Marr�; L. Ceccaroni; I. R-Roda; M. Poch
Collective artificial intelligence : simulated role-playing from crowdsourced data
Collective Artificial Intelligence (CAl) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process ...
Orkin, Jeffrey David
Book review: Artificial Intelligence in Perspective by Daniel G. Bobrow (Ed.) (The MIT Press 1993)
The past and present of Artificial Intelligence have been nicely presented in the book, "Artificial Intelligence in Perspective". This book is dedicated to Allen Newell, one of the founders of artificial intelligence (AI). The book looks at the achievements ...
Rajkumar Roy; Raju S. Bapi
Guest editorial: Artificial intelligence in biomedical engineering and informatics: An introduction and review
Keywords: Artificial intelligence, Bioinformatics, Biological knowledge discovery, Biomedical engineering, Systems biology
Yonghong Peng; Yufeng Zhang; Lipo Wang
Data dictionary design with an artificial intelligence model
The implementation of an artificial intelligence model using a commercially available system, the IBM data dictionary, is described. The model is supporting knowledge bases built at the medical college for production purposes. 12 references.
Sturdza, P.
A Nonlinear Artificial Intelligence Ensemble Prediction Model for Typhoon Intensity
A new nonlinear artificial intelligence ensemble prediction (NAIEP) model has been developed for predicting typhoon intensity based on multiple neural networks with the same expected output and using an evolutionary genetic algorithm (GA). The ...
Long Jin; Cai Yao; Xiao-Yan Huang
Artificial intelligence for monitoring and supervisory control of process systems
Complex processes involve many process variables, and operators faced with the tasks of monitoring, control, and diagnosis of these processes often find it difficult to effectively monitor the process data, analyse current states, detect and diagnose ... Keywords: Artificial intelligence techniques, Framework for intelligent system development, Integrated systems, Monitoring and control, Process industry
Varanon Uraikul; Christine W. Chan; Paitoon Tontiwachwuthikul
Application of Artificial Intelligence Technique in Distributed Generation System
This paper gives a brief description of current situation of distributed generation system, and points out that microgrid can run in two kinds of operation modes. The key problems which need to be cautiously considered exist in each operation mode are ... Keywords: Artificial intelligence, Artificial neural network, Distributed generation system, Fuzzy logic, Genetic algorithm, Multi-agent system
Guoqing Weng; Youbing Zhang; Yi Hu
Artificial Intelligence / Expert Systems Expertise - Nuclear...
NLE Websites -- All DOE Office Websites (Extended Search)
Intelligence Expert Systems Expertise Capabilities Nuclear Systems Technologies Nuclear Criticality Safety Research Reactor Analysis Decontamination and Decommissioning...
6.034 Artificial Intelligence, Spring 2003
Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint ...
Lozano-Perez, Tomas
Potential use of artificial intelligence techniques in air traffic control
A.I., or Artificial Intelligence, is a vast field that includes more than the so-called "Expert Systems" that the public seems to identify with A.I. In particular, research in A.I. has created an entirely new mode of ...
Elias, Antonio L.
Artificial intelligence based optimization of fermentation medium for ?-glucosidase production from newly isolated strain tolypocladium cylindrosporum
A Tolypocladium cylindrosporum strain was isolated for efficiently produce extracellular thermoacidophilic ?-glucosidase (BGL). This objective of the present paper is to integrate two different artificial intelligence techniques namely artificial ... Keywords: ?-glucosidase(BGL), artificial intelligence(AI), artificial neural network(ANN), fermentation medium, genetic algorithm(GA), tolypocladium cylindrosporum
Yibo Zhang; Lirong Teng; Yutong Quan; Hongru Tian; Yuan Dong; Qingfan Meng; Jiahui Lu; Feng Lin; Xueqing Zheng
Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review
Artificial Intelligence (AI) has been used and applied in different sectors, such as engineering, economic, medicine, military, marine, etc. AI has also been applied for modelling, identification, optimisation, prediction, forecasting, and control ... Keywords: AI, FPGA, GAs, VHDL, artificial intelligence, fuzzy logic, genetic algorithms, hybrid systems, neural networks, photovoltaic systems, solar radiation forecasting, solar radiation modelling, solar radiation prediction
Adel Mellit
Predictive models for emission of hydrogen powered car using various artificial intelligent tools
This paper investigates the use of artificial intelligent models as virtual sensors to predict relevant emissions such as carbon dioxide, carbon monoxide, unburnt hydrocarbons and oxides of nitrogen for a hydrogen powered car. The virtual sensors are ... Keywords: Adaptive neuro-fuzzy inference systems, Artificial intelligent techniques, Back-propagation neural networks with Levenberg�Marquardt algorithm, Hydrogen emission prediction, Hydrogen powered car, UTAS artificial neural networks
Vishy Karri; Tien Nhut Ho
Recognizing Low-Altitude Wind Shear Hazards from Doppler Weather Radar: An Artificial Intelligence Approach
This paper describes an artificial intelligence-based approach for automated recognition of wind shear hazards. The design of a prototype system for recognizing low-attitude wind shear events from Doppler radar displays is presented. This system, ...
Steven D. Campbell; Stephen H. Olson
The application of spectral analysis and artificial intelligence methods to weather radar
Power spectral density (PSD) of reflectivity and polarimetric variables have the potential to provide the linkage between the dynamics and the microphysical properties of scatterers within the radar resolution volume. The artificial intelligence ...
Yadong Wang / Tian-You Yu
The application of neural networks with artificial intelligence technique in the modeling of industrial processes
Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.
Saini, K. K.; Saini, Sanju [CDLM engg. College Panniwala Mota, Sirsa and Murthal, Sonipat, Haryana (India)
Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques
Petroleum well drilling monitoring has become an important tool for detecting and preventing problems during the well drilling process. In this paper, we propose to assist the drilling process by analyzing the cutting images at the vibrating shake shaker, ... Keywords: Applied artificial intelligence, Artificial Neural Networks, Optimum-path forest, Petroleum well drilling, Support vector machines
Ivan R. Guilherme; Aparecido N. Marana; Jo�o P. Papa; Giovani Chiachia; Luis C. S. Afonso; Kazuo Miura; Marcus V. D. Ferreira; Francisco Torres
Enactive artificial intelligence: Investigating the systemic organization of life and mind
The embodied and situated approach to artificial intelligence (AI) has matured and become a viable alternative to traditional computationalist approaches with respect to the practical goal of building artificial agents, which can behave in a robust and ... Keywords: Agency, Autonomy, Cognitive science, Design principles, Embodied, Enactive, Intentionality, Modeling, Natural cognition, Situated
Tom Froese; Tom Ziemke
Combining artificial neural networks and heuristic rules in a hybrid intelligent load forecast system
In this work, an Artificial Neural Network (ANN) is combined to Heuristic Rules producing a powerful hybrid intelligent system for short and mid-term electric load forecasting. The Heuristic Rules are used to adjust the ANN output to improve the system ... Keywords: artificial neural networks, electric load forecast, heuristic rules, hybrid system
Ronaldo R. B. de Aquino; Aida A. Ferreira; Manoel A. Carvalho, Jr.; Milde M. S. Lira; Geane B. Silva; Otoni N�brega Neto
The Metaphysical Character of the Criticisms Raised Against the Use of Probability for Dealing with Uncertainty in Artificial Intelligence
In artificial intelligence (AI), a number of criticisms were raised against the use of probability for dealing with uncertainty. All these criticisms, except what in this article we call the non-adequacy claim, have ... Keywords: Alternative approaches, Artificial intelligence, Probability, Randomness, Uncertainty
Carlotta Piscopo; Mauro Birattari
An artificial intelligence-based approach to deal with argumentation applied to food quality in a public health policy
Argumentation is a relatively new research area in Artificial Intelligence. Since the early 1980s, its use has been investigated in various frameworks. We propose a general model for recommendation-based argumentation by extending Dung's seminal argumentation ... Keywords: Arbitration, Argumentation, Artificial intelligence, Benefit-risk analysis, Case study, Decision support, Knowledge representation, Nutrition, Preferences
Jean-R�Mi Bourguet; Rallou Thomopoulos; Marie-Laure Mugnier; Jo�L Ab�Cassis
"Artificial Intelligence Systmes Techniques and Applications in Speech Processing"
Campbell,D.R. Fyfe,C. Girolami,M. Intelligence Systems Technology and Applications, Vol.III Signal, Image and Speech processing, 1-48, Ed: C T Leondes pp V.III 1-48 CRC Press
Campbell, D.R.; Fyfe, C.; Girolami, M.
Artificial intelligence in genomic sequence, protein structure function prediction and DNA microarrays: a survey
Bioinformatics is conceptualising biology in terms of molecules (in the sense of physical chemistry) and applying 'informatics techniques' (derived from disciplines such as applied mathematics, computer science and statistics) ... Keywords: AI, ANNs, DNA microarrays, K-nearest neighbour, SVM, artificial intelligence, artificial neural networks, bioinformatics, data mining, decision trees, ensemble learning, genomic sequences, hidden Markov modelling, protein function prediction, protein structure, rough sets, support vector machine
Athanasios V. Vasilakos; Bing Niu; Liang Liu; Wencong Lu
Formation and Development of Ideas of Artificial Intelligence in V. M. Glushkov's Works
Ideas and means of artificial intelligence are considered that are developed in works of V. M. Glushkov and are used in brain modeling, computer-aided training, automata theory, and systems of algorithmic algebras. Keywords: algebra of algorithms, algorithms and coding, automata theory, discrete transformers, experiments in training of machines, model of the brain, system of algorithmic algebras
Yu. V. Kapitonova
Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives to more classical techniques to model environmental systems. We review some of them and their environmental applicability, with examples and a reference list. ... Keywords: Case-based reasoning, Cellular automata, Environmental modelling, Multi-agent
Serena H. Chen; Anthony J. Jakeman; John P. Norton
Power System Dynamic Security Analysis Using Artificial Intelligence Systems: Phase 1 -- Feasibility Evaluation
On-line transient stability analysis, using actual system conditions, will allow more realistic stability limits. The result will be improved economy through increased transfers across the transmission grid. This feasibility evaluation explores ways of using artificial intelligence and other techniques to solve the computational problems associated with dynamic security analysis.
Method and apparatus for optimizing operation of a power generating plant using artificial intelligence techniques
DOE Patents (OSTI)
A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.
Wroblewski, David (Mentor, OH); Katrompas, Alexander M. (Concord, OH); Parikh, Neel J. (Richmond Heights, OH)
On the practice of artificial intelligence based predictive control scheme: a case study
This paper describes a novel artificial intelligence based predictive control scheme for the purpose of dealing with so many complicated systems. In the control scheme proposed here, the system has to be first represented through a multi-Takagi-Sugeno-Kang ... Keywords: Drum-type boiler-turbine system, GPC identifier, GPC scheme, Industrial tubular heat exchanger system, Linear model approximation, Multi-GPC scheme, Multi-TSK fuzzy-based model approach, NLGPC scheme, System operating points
A. H. Mazinan; M. Sheikhan
Real-time highway traffic condition assessment framework using vehicle-infrastructure integration (VII) with artificial intelligence (AI)
This paper presents a framework for real-time highway traffic condition assessment using vehicle kinetic information, which is likely to be made available from vehicle-infrastructure integration (VII) systems, in which vehicle and infrastructure agents ... Keywords: artificial intelligence (AI), incident detection, vehicle kinetics, vehicle-infrastructure integration (VII)
Yongchang Ma; Mashrur Chowdhury; Adel Sadek; Mansoureh Jeihani
Engineering Applications of Artificial Intelligence 18 (2005) 513531 A class of intelligent agents for coordinated control of
vehicles (UAVs and UGVs) to complex interconnected electric power systems made up of several interacting of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada M5B 2K3 c Intelligent of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 Received 21
Parker, Lynne E.
Introduction & overview of �artificial life��evolving intelligent agents for modeling & simulation
"Artificial Life," despite its biological analogy and the hyperbole that its name implies, is really a collection of methods for building discrete event simulations with evolving multiple agents. It consists mainly of representing parts of systems or ...
A. Martin Wildberger
The Application of Artificial Intelligence Techniques to the Analysis of Waste Assay Data Susan Bridges Julia Hodges Charles Sparrow
This report describes an expert system that is being developed to investigate the issues involved in incorporating artificial intelligence techniques into a system that can analyze and characterize containerized radiological waste. The expert system is being developed by scientists at the Mississippi State University Diagnostic and Instrumentation Laboratory in collaboration with scientists at the Idaho National Engineering Laboratory. The goal is to develop an expert system that will be a component of the Waste Assay Measurement Integration System (WAMIS); WAMIS is intended to help the staff at the Stored Waste Examination Pilot Plant (SWEPP) determine proper disposition of the containers. The expert system must combine information from a variety of sources to determine if the waste meets the criteria for shipment that are defined in the quality assurance objectives for the program. An exploratory version of the expert system will be used to evaluate the applicability of different art...
Susan Bridges; Susan Bridges; Julia Hodges; Julia Hodges; Charles Sparrow; Charles Sparrow
Intelligent Experimental Design Using an Artificial Neural Network Meta Model and Information Theory
Ability to rapidly design products and their manufacturing process is a key to being competitive in a dynamic market environment. Traditional methods of design of experiment development are unsatisfactory when applied to design problems with large number ... Keywords: Artificial Neural Network, Experimental Design, Information Theory
Shi-Shang Jang; David Shan-Hill Wong; Junghui Chen
Potential impacts of artificial intelligence expert systems on geothermal well drilling costs:
DOE Green Energy (OSTI)
The Geothermal research Program of the US Department of Energy (DOE) has as one of its goals to reduce the cost of drilling geothermal wells by 25 percent. To attain this goal, DOE continuously evaluates new technologies to determine their potential in contributing to the Program. One such technology is artifical intelligence (AI), a branch of computer science that, in recent years, has begun to impact the marketplace in a number of fields. Expert systems techniques can (and in some cases, already have) been applied to develop computer-based ''advisors'' to assist drilling personnel in areas such as designing mud systems, casing plans, and cement programs, optimizing drill bit selection and bottom hole asssembly (BHA) design, and alleviating lost circulation, stuck pipe, fishing, and cement problems. Intelligent machines with sensor and/or robotic directly linked to AI systems, have potential applications in areas of bit control, rig hydraulics, pipe handling, and pipe inspection. Using a well costing spreadsheet, the potential savings that could be attributed to each of these systems was calculated for three base cases: a dry steam well at The Geysers, a medium-depth Imerial Valley well, and a deep Imperial Valley well. Based on the average potential savings to be realized, expert systems for handling lost circulations problems and for BHA design are the most likely to produce significant results. Automated bit control and rig hydraulics also exhibit high potential savings, but these savings are extremely sensitive to the assumptions of improved drilling efficiency and the cost of these sytems at the rig. 50 refs., 19 figs., 17 tabs.
Satrape, J.V.
Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly report], January 1--March 31, 1995
SciTech Connect
This basis search is to apply novel techniques from Artificial Intelligence (AI) and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The overall project plan to design the system to create integrated reservoir description begins by initially developing an AI-based methodology for producing large-scale reservoir descriptions generated interactively from geology and well test data. Parallel to this task is a second task that develops an AI-based methodology that uses facies-biased information to generate small-scale descriptions of reservoir properties such as permeability and porosity. The third task involves consolidation and integration of the large-scale and small-scale methodologies to produce reservoir descriptions honoring all the available data. The final task will be technology transfer. With this plan, we have carefully allocated and sequenced the activities involved in each of the tasks to promote concurrent progress towards the research objectives. The results of the integration are not merely limited to obtaining better characterizations of individual reservoirs. They have the potential to significantly impact and advance the discipline of reservoir characterization itself.
Kelkar, B.G.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.
Philosophical foundations of artificial consciousness
Objective: Consciousness is often thought to be that aspect of mind that is least amenable to being understood or replicated by artificial intelligence (AI). The first-personal, subjective, what-it-is-like-to-be-something nature of consciousness is thought ... Keywords: Artificial consciousness, Heterophenomenology, Interactive empiricism, Machine consciousness, Prosthetic artificial intelligence, Synthetic phenomenology
Ron Chrisley
Computational Intelligence: Concepts to Implementations
Russ Eberhart and Yuhui Shi have succeeded in integrating various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook, including lots of practical examples. -Shun-ichi Amari, RIKEN Brain ... Keywords: Artificial Intelligence, Neural Networks
Russell C. Eberhart
Review: Ambient intelligence: Technologies, applications, and opportunities
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, ... Keywords: Ambient intelligence, Artificial intelligence, Context awareness, Decision making, Privacy, Sensors
Diane J. Cook; Juan C. Augusto; Vikramaditya R. Jakkula
Developing Creativity: Artificial Barriers in Artificial Intelligence
system would be like an apprentice who slavishly adheres tosensibilities. While such an apprentice may be creative atprogress from a capable apprentice to a creator in its own
Jennings, Kyle E.
Artificial Intelligence and Systems Engineering
/PR URL: http://www.dotomi.com Job Titles: Engineering/IT Apprentice, Client Development/Sales Apprentice, Media Apprentice, Account Management Apprentice, Quality Assurance Apprentice Majors: Business: Business. - BS, Engineering: Contract Major, Engineering: Electrical, Engineering: Industrial, Engineering
Sommerville, Ian
Artificial intelligence and natural magic
Oct 25, 2007... to be able to make the right decisions about who and when to kill on the battlefield? We certainly wouldn't allow a ventriloquist's dummy. 123�...
Swarm intelligence supported e-remanufacturing
e-Remanufacturing has nowadays become a superior option for product recovery management system. So far, many different approaches have been followed in order to increase the efficiency of remanufacturing process. Swarm intelligence (SI), a relatively ... Keywords: ant colony optimization (ACO), artificial bee colony (ABC), artificial immune system (AIS), e-remanufacturing, particle swarm optimization (PSO), swarm intelligence (SI)
Bo Xing; Wen-Jing Gao; Fulufhelo V. Nelwamondo; Kimberly Battle; Tshilidzi Marwala
An intelligent simulation system for earthquake disaster assessment
This paper presents an intelligent simulation system for an earthquake disaster assessment system based on a development platform of a Geographic Information System (GIS) and Artificial Intelligence (AI). This system is designed to identify the weakness ... Keywords: Artificial Intelligence, Earthquake risk analysis, Geographic Information System, Seismic emergency response, Seismic hazard
Aiping Tang; Aihua Wen
The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents
This paper discusses the relation between intelligence and motivation in artificial agents, developing and briefly arguing for two theses. The first, the orthogonality thesis, holds (with some caveats) that intelligence and final ... Keywords: AI, Artificial intelligence, Goal, Instrumental reason, Intelligent agent, Superintelligence
Nick Bostrom
Review: The use of computational intelligence in intrusion detection systems: A review
Intrusion detection based upon computational intelligence is currently attracting considerable interest from the research community. Characteristics of computational intelligence (CI) systems, such as adaptation, fault tolerance, high computational speed ... Keywords: Artificial immune systems, Artificial neural networks, Computational intelligence, Evolutionary computation, Fuzzy systems, Intrusion detection, Soft computing, Survey, Swarm intelligence
Shelly Xiaonan Wu; Wolfgang Banzhaf
Robotic Welding, Intelligence and Automation, 1st edition
Thisresearch reportbrings together presenttrends in advanced welding robots, robotic welding, artificial intelligent and automatic welding. It includes important technical subjects on welding robots such as intelligent technologies and systems, and design ...
Tzyh-Jong Tarn; Tzyh-Jong Tarn; Shan-Ben Chen; Changjiu Zhou
An intelligent ACO-SA approach for short term electricity load prediction
Intelligent solutions, based on artificial intelligence (AI) technologies, to solve complicated practical problems in various sectors are becoming more and more widespread nowadays. On the other hand, electrical load prediction is one of the important ... Keywords: ant colony optimization, artificial neural networks, intelligent prediction, short-term electricity load prediction, simulated annealing, time series modeling
Arash Ghanbari; Esmaeil Hadavandi; Salman Abbasian-Naghneh
Evolving intelligent game-playing agents
Traditional game playing programs have relied on advanced search algorithms and hand-tuned evaluation functions to play 'intelligently'. A historical overview of these techniques is provided, followed by a revealing look at recent developments in co-evolutionary ... Keywords: algorithms, artificial intelligence, co-evolution, design, experimentation, game learning, particle swarm optimisation
Nelis Franken; Andries P. Engelbrecht
Open Problems in Universal Induction & Intelligence
Specialized intelligent systems can be found everywhere: finger print, handwriting, speech, and face recognition, spam filtering, chess and other game programs, robots, et al. This decade the first presumably complete mathematical theory of artificial intelligence based on universal induction-prediction-decision-action has been proposed. This information-theoretic approach solidifies the foundations of inductive inference and artificial intelligence. Getting the foundations right usually marks a significant progress and maturing of a field. The theory provides a gold standard and guidance for researchers working on intelligent algorithms. The roots of universal induction have been laid exactly half-a-century ago and the roots of universal intelligence exactly one decade ago. So it is timely to take stock of what has been achieved and what remains to be done. Since there are already good recent surveys, I describe the state-of-the-art only in passing and refer the reader to the literature. This article concent...
Hutter, Marcus
Recent advances and future challenges for artificial neural systems in geotechnical engineering applications
Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to provide a high level of competency in solving many complex engineering problems that are beyond the computational capability of classicalmathematics and traditional ...
Mohamed A. Shahin; Mark B. Jaksa; Holger R. Maier
Environmental Intelligence
Intelligence Intelligence Answering big questions about environmental change begins with many small measurements (continued on next page) NEWSLETTER OF Oak Ridge National Laboratory's Energy and Environmental Sciences Directorate E nvironmental intelligence is the wealth of information on the physical, biological, and chemical processes that drive Earth's ecosystems (its organisms, soil, air, and water) and the impact humans have on these ecosystems through our practices and developments. Such intelligence is often gathered though small, precise efforts to monitor complex environmental processes with sensing and measurement systems. By collecting new or more detailed observational data from a greater number of locations across the globe, researchers can improve scientific
Artificial Photosynthesis
I Artificial Photosynthesis I - Design Principles for Light Harvesting FlemingSmall.png Key Challenges: Researchers measure a two-dimensional (2D) Fourier transform electronic...
Human intelligence
intelligence intelligence Name: Megan Age: N/A Location: N/A Country: N/A Date: N/A Question: How did people start to learn things and talk and become more and more intelligent? Replies: Megan, You can view learning, talking and intelligence as fitting a person to become successful in living. Those who learn, for example, can learn things like hunting and growning crops; the alternative is not learning and simply starving. Talking can be seen as a way of communicating acquired knowledge which again could provide for success in survival, for example suggestions of how to gather and prepare food, or how to choose a mate. Those who do not share 'good ideas' by talking would be less likely to do as well in surviving. There fore, I see learning, talking and intelligence as requirements for survival. If you then toss in a bit of creativity, you have a recipe for what should be a competitive individual in living.
International Joint Conference on Artificial Intelligence Proceedings
Concept 50% Work Plan/Statement of Project Objectives (SOPO) 30% Qualifications and Facilities likelihood of overall technical success. #12;Criterion 2: Work Plan/SOPO (30%) · The adequacy, clarity, and completeness of the work plan and Statement of Project Objectives (SOPO). · The soundness and likelihood
Bremen, Universität
the earliest days of the subject [BA82, Ray88, LMWF94,Lyn96]. The deepening understanding of atomicity
Shelton, Christian R.
Tim Menzies, Paul Compton Artificial Intelligence Laboratory,
configuration. B. The Adsorption Configurations. To understand the atomic-level adsorption geometries
Menzies, Tim
Artifact-mediated society and social intelligence design
Human society is increasingly dependent on artifacts. The progress of artificial intelligence accelerates this tendency. In spite of strong concern about heavy dependence on artifacts, it appears an inevitable consequence of the knowledge society. In ...
Toyoaki Nishida
Ape intelligence
Ape intelligence Name: Danny Lee Location: NA Country: NA Date: NA Question: Do you think the apes will rise to the level of human beings? Replies: Recent experiments with Koko,...
Imitation Versus Communication: Testing for Human-Like Intelligence
Turing's Imitation Game is often viewed as a test for theorised machines that could `think' and/or demonstrate `intelligence'. However, contrary to Turing's apparent intent, it can be shown that Turing's Test is essentially a test for humans only. Such ... Keywords: Communication, Imitation Game, Philosophy of Artificial Intelligence, Turing Test
Jamie Cullen
Intelligent e-learning systems for evaluation of user's knowledge and skills with efficient information processing
This paper presents a new concept of an e-learning system with intelligent two-way speech communication between the system and its users. Computational intelligence methods allow for analysis, evaluation and assessment of user's knowledge and skills ... Keywords: artificial intelligence, cybernetics, e-learning system, mobile technology, speech interface, user-computer interaction
Wojciech Kacalak; Maciej Majewski; Jacek M. Zurada
Artificial insemination
Artificial insemination Artificial insemination Name: Allison K Mocko Location: N/A Country: N/A Date: N/A Question: Is it true that when undergoing artificial insemination there is a greater chance of conceiving a boy? Why? Replies: I believe so. Normally the semen is centrifuged and the top fraction picked off for insemination. Sperm swim up by instinct, naturally, and so those that make it to the top in the artificially high gravity are the fittest of the bunch, to be preferred for insemination success. They also happen more often to be sperm carrying Y sex chromosomes. The Y chromosome is half the size of the X chromosome, so the sperm carrying it are lighter and tend to be able to swim faster. The same effect may operate in the natural process: the percentage of newborns that are boys is slightly higher than 50. The imbalance is corrected by the higher death rate of baby boys.
Artificial bee colony algorithm solution for optimal reactive power flow
Artificial bee colony (ABC) algorithm is an optimization algorithm based on the intelligent foraging behavior of honeybee swarm. Optimal reactive power flow (ORPF) based on ABC algorithm to minimize active power loss in power systems is studied in this ... Keywords: Artificial bee colony, Optimal reactive power flow, Penalty function, Power system
K�r?at Ayan; Ula? K?l?�
Opposition-based artificial bee colony algorithm
The Artificial Bee Colony (ABC) algorithm is a relatively new algorithm for function optimization. The algorithm is inspired by the foraging behavior of honey bees. In this work, the performance of ABC is enhanced by introducing the concept of opposition-based ... Keywords: benchmarking, black-box optimization, opposition-based learning, swarm intelligence
Mohammed El-Abd
Swarm intelligence approaches to estimate electricity energy demand in Turkey
This paper proposes two new models based on artificial bee colony (ABC) and particle swarm optimization (PSO) techniques to estimate electricity energy demand in Turkey. ABC and PSO electricity energy estimation models (ABCEE and PSOEE) are developed ... Keywords: Ant colony optimization, Artificial bee colony, Electricity energy estimation, Particle swarm optimization, Swarm intelligence
Mustafa Servet K?Ran; Eren �Zceylan; Mesut G�Nd�Z; Turan Paksoy
Protection through Intelligent and Multimedia Captchas
The Complete Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a modern implementation of the Turing test. A CAPTCHA asks a series of questions which are supposed to be relatively easy for mature human beings but hard for machines ... Keywords: Artificial Intelligence, CAPTCHA, Machines, Multimedia, Turing Test
Wesam Al-Sudani; Amit Gill; Chen Li; Jidong Wang; Fei Liu
Decision Theory, Intelligent Planning and Counterfactuals
The ontology of decision theory has been subject to considerable debate in the past, and discussion of just how we ought to view decision problems has revealed more than one interesting problem, as well as suggested some novel modifications of classical ... Keywords: Artificial intelligence, Bayesianism, Causality, Conditionals, Counterfactuals, Decision theory, Deliberation, Planning, Probabilities, Rationality, Utility
Michael John Shaffer
Intelligence Programs | National Security | ORNL
Intelligence Programs SHARE Intelligence Programs image The Intelligence Programs leverage ORNL's considerable science and technology assets to support the Intelligence Community....
Artificial companions
What will an artificial Companion be like? Who will need them and how much good or harm will they do? Will they change our lives and social habits in the radical way technologies have in the past: just think of trains, phones and television? Will they ...
Yorick Wilks
Intelligent interface for design and simulation
We are developing a system composed of intelligent interfaces, expert systems, and databases that uses artificial intelligence techniques to simplify the use of large simulation codes and to help design complicated physical devices. The simulation codes are used in analyzing and designing weapons, and the devices are themselves parts of weapon systems. From a designer's point of view, the simulation process is the same no matter what is being simulated. In the course of developing two intelligent interfaces for the design of nuclear weapons, we have found that data-driven programming is a useful technique for implementing an open-ended user interface to assist the designer. We discuss the simulation process as it is done now and as it could be done with intelligent interfaces. We then discuss the use of data-driven programming in a database environment to support an interface for an arbitrary number of simulation codes. 3 figs.
Draisin, W.; Peter, E.
Second order ambient intelligence
This text attempts to describe an imagined future of ambient intelligence. It assumes that one day most of the current issues within ambient intelligence will be solved and that a second order ambient intelligence will be formulated, one with new research ... Keywords: Critique of ambient intelligence, adaptive systems, animal machine interaction, critical futurism, long-term behavior, second order ambient intelligence, temporal design
Marc B�hlen
Artificial insemination Artificial insemination Name: Sandy C. and Becca S. and Jessica M. Grade 7 Glen Crest Jr. High Status: N/A Age: N/A Location: N/A Country: N/A Date: N/A Question: Would it ever be possible for an animal to have another animals baby? For example, women can be impregnated without having intercourse now because of modern technology. So, could a cow for example carry an endangered species' offspring? Replies: Sandy, Becca, and Jessica, Is suspect that you have not received an answer to this question yet because there is not a definite answer. In order to bear offspring there are many factors that must be met. Primarily, the father and mother must be of the same species or at least very similar. There are so many new developments in the area of artificial insemination that it is hard to say no, a cow can not carry and endangered species, it is highly unlikely at this time. Keep up your curiosity, it is a characteristic of all scientists! (By the way I teach 6th grade science and am currently teaching a human growth and development unit in which the students have been asking questions very similar to yours).
Categorical Exclusion Determinations: Intelligence and Counterintellig...
Energy.gov (U.S. Department of Energy (DOE)) Indexed Site
Intelligence and Counterintelligence Categorical Exclusion Determinations: Intelligence and Counterintelligence Categorical Exclusion Determinations issued by Intelligence and...
A new void fraction correlation inferred from artificial neural networks for modeling two-phase flows in geothermal wells
A new empirical void fraction correlation was developed using artificial neural network (ANN) techniques. The artificial networks were trained using the backpropagation algorithm and production data obtained from a worldwide database of geothermal wells. ... Keywords: Artificial intelligence, Geothermal energy, Liquid holdup, Pressure gradients, Simulation, Statistics
A. �lvarez del Castillo; E. Santoyo; O. Garc� a-Valladares
Page 1. PERMIS-2007 FOREWORD SPONSORS PerMIS 2008 PERFORMANCEMETRICS FOR INTELLIGENT SYSTEMS (PERMIS) ...
Artificial Photosynthesis II -
II - Artificial Photosynthesis II - Joint Center for Artificial Photosynthesis (JCAP) Simulations NathanLewis.png Schematic of a photoelectrochemical cell being designed to harness...
Agent-based intelligent system development for decision support in chemical process industry
This paper presents an agent-based intelligent system to support coordinate manufacturing execution and decision-making in chemical process industry. A multi-agent system (MAS) framework is developed to provide a flexible infrastructure for the integration ... Keywords: Artificial intelligence, Coordinate manufacturing, Decision support, Information integration, Multi-agent system
Ying Gao; Zhigang Shang; Antonis Kokossis
Estimation of static formation temperatures in geothermal wells by using an artificial neural network approach
An artificial neural network (ANN) approach was used to develop a new predictive model for the calculation of static formation temperature (SFT) in geothermal wells. A three-layer ANN architecture was successfully trained using a geothermal borehole ... Keywords: Artificial intelligence, Borehole drilling, Bottom-hole temperature, Geothermal energy, Horner method, Levenberg-Marquardt algorithm, Shut-in time
A. Bassam; E. Santoyo; J. Andaverde; J. A. Hern�ndez; O. M. Espinoza-Ojeda
Artificial Neural Network to Predict Skeletal Metastasis in Patients with Prostate Cancer
The application of an artificial neural network (ANN) in prediction of outcomes using clinical data is being increasingly used. The aim of this study was to assess whether an ANN model is a useful tool for predicting skeletal metastasis in patients with ... Keywords: Artificial intelligence, Bone metastasis, Computer assisted, Image interpretation, Prostatic neoplasm, Radionuclide imaging
Jainn-Shiun Chiu; Yuh-Feng Wang; Yu-Cheih Su; Ling-Huei Wei; Jian-Guo Liao; Yu-Chuan Li
QSAR modeling of CCR5 receptor antagonists using artificial neural network
In-silico prediction methods are gaining the popularity in drug discovery processes as they are relatively inexpensive and less time consuming. In this study, Artificial Neural Network (ANN) based on back propagation algorithm (BP algorithm) has been ... Keywords: CCR5, QSAR, artificial intelligence, neural networks
Yogesh D. Aher; Prabha Garg
Intelligent process modeling and optimization of die-sinking electric discharge machining
This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial ... Keywords: Artificial neural networks (ANN), Electric discharge machining (EDM), Finite element method (FEM), Non-dominated sorting genetic algorithm (NSGA), Process modeling and optimization, Scaled conjugate gradient algorithm (SCG)
S. N. Joshi; S. S. Pande
Artificial neural networks for automated year-round temperature prediction
Crops and livestock in most of the southeastern United States are susceptible to potential losses due to extreme cold and heat. However, given suitable warning, agricultural and horticultural producers can mitigate the damage of extreme temperature events. ... Keywords: Artificial intelligence, Frost protection, Fruit crops, Neural network, Temperature prediction, Vegetable crops
Brian A. Smith; Gerrit Hoogenboom; Ronald W. McClendon
Interactive Intelligent Systems
... in applying interactive system utility measurements against some hard problems in both the intelligence community (IC) and the military (DARPA). ...
The role of ambient intelligence in future lighting systems
LED-based lighting systems have introduced radically new possibilities in the area of artificial lighting. Being physically small the LED can be positioned or embedded into luminaires, materials and even the very fabric of a building or environment. ... Keywords: LED, ambient intelligence, lighting, user interaction
Dzmitry Aliakseyeu; Jon Mason; Bernt Meerbeek; Harm van Essen; Serge Offermans
Social Intelligence: Next Generation Business Intelligence
In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamically assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.
Troy Hiltbrand
Intelligent Systems Division Homepage
... the versatility, autonomy, and rapid re-tasking of intelligent robots and automation technologies for smart manufacturing and cyber-physical systems ...
Trust and multi-agent systems: applying the "diffuse, default model" of trust to experiments involving artificial agents
We argue that the notion of trust, as it figures in an ethical context, can be illuminated by examining research in artificial intelligence on multi-agent systems in which commitment and trust are modeled. We begin with an analysis of a philosophical ... Keywords: Artificial agents, Default trust, Diffuse trust, Multi-agent systems, Trust
Jeff Buechner; Herman T. Tavani
An adaptive intelligent algorithm for forecasting long term gasoline demand estimation: The cases of USA, Canada, Japan, Kuwait and Iran
This study presents an adaptive intelligent algorithm for forecasting gasoline demand based of artificial neural network (ANN), conventional regression and design of experiment (DOE). To show the superiority and applicability of the proposed algorithm ... Keywords: Artificial neural network, Design of experiment, Forecasting, Gasoline consumption, Multi-Layer Perceptron, Regression
A. Azadeh; R. Arab; S. Behfard
Artificial Retina Project Progress
Technological Challenges in Engineering a Retinal Implant Photo of Eye with Silicon Chip The artificial retina consists of an electrode-studded soft polymer array (shown) that is...
Interactive Drama, Art and Artificial Intelligence Michael Mateas
level that combines aspects of character and story. 1 Zoesis, the company founded by former Oz Project; the generated Java code is supported by the ABL runtime system. ABL modifies Hap in a number of ways, changing representations of the social action performed by the surface text utterance. A custom rule language (implemented
California at Santa Cruz, University of
ARTIFICIAL INTELLIGENCE 25 A Model for Belief Revision
Mecanica, Instituto Superior Tdcnico, 1000 Lisboa, Portugal Stuart C. Shapiro Department of Computer
Shapiro, Stuart C.
Progress and Challenge of Artificial Intelligence 1 Introduction
Its organizational origins are in the mid-1970s ... Organization (HFSP) was founded in October 1989 in ... cognition and communication, improving human health.
Artificial intelligence systems based on texture descriptors for ...
peptides that bind human leukocyte antigens and on a human immunodeficiency virus (HIV-1). ..... this paper by evaluating the error independence between.
The role of chess in artificial intelligence research
Our eminent researchers including John McCarthy, Allen Newell, Claude Shannon, Herb Simon, Ken Thompson and Alan Turing put significant effort into computer chess research. Now that computers have reached the grandmaster level, and are beginning to vie ...
Robert Levinson; Feng-Hsiung Hsu; T. Anthony Marsland; Jonathan Schaeffer; David E. Wilkins
Computer Science and Engineering 150 Introduction to Artificial Intelligence
(see below). This quarter we will use Russell and Norvig, 3rd edition, covering chapters 1-6, 13 with someone else. When you are out in the work world, you will be thrown together with people you don't know of learning, reinforcement learning, and learning with neural nets. We will also be using clickers. I think
Cottrell, Garrison W.
METEOR: An Artificial Intelligence System for Convective Storm Forecasting
An experienced forecaster can use several different types of knowledge in forcing. First, there is his theoretical understanding of meteorology, which is well entrenched in current numerical models. A second type is his �local knowledge,� gained ...
Ren�e Elio; Johannes De Haan; G. S. Strong
Artificial Intelligence Tools for Failure Event Database Management ...
According the a 2000 NRC report (NUREG/CR6674), a fatigue modeling result showed that "cracks initiate rather early in the plant life. There is about a�...
An Interview with Stuart Russell: the future of artificial intelligence
AI may not take over the world but it will provide new and powerful tools. Smart microwave ovens? No big deal. Full-size humanoid robots that walk, climb stairs, open and close doors, and pick things up? Now that gets our attention.
Ubiquity staff
Artificial Intelligence and Grids: Workflow Planning and Beyond
for science. A key challenge for distributed computation over the Grid is the synthesis on-demand of end-level requests in terms of their application domain. Grids should provide automated workflow generation in highly distributed heterogeneous systems are commonplace. The Grid is a very dynamic environment, where
Gil, Yolanda
for science. A key challenge for distributed computation over the Grid is the synthesis on-demand of end and submits the workflow for execution on the Grid. We end the paper with our vision for a more distributed-level requests in terms of their application domain. Grids should provide automated workflow generation
Blythe, Jim
Intelligent Information Retrieval: Whose Intelligence? Nicholas J. Belkin *
Intelligent Information Retrieval: Whose Intelligence? Nicholas J. Belkin * School of Communication 9328585 email@example.com Contents 1. What could we mean by intelligent information retrieval? 2. What constitutes an information retrieval system? 3. Where could intelligence be manifest
Belkin, Nicholas J.
Intelligent Information Retrieval: Whose Intelligence? Nicholas J. Belkin*
Intelligent Information Retrieval: Whose Intelligence? Nicholas J. Belkin* School of Communication 932-8585 email@example.com Contents 1. What could we mean by intelligent information retrieval? 2. What constitutes an information retrieval system? 3. Where could intelligence be manifest
Nonstationary artificial black holes
We study the existence of artificial non-stationary spherically symmetric black holes. We give examples of the appearance of black holes and of disappearance of white holes. We also discuss the relation between the apparent and the event horizons for the case of artificial black holes.
Eskin, Gregory
Designing creative artificial systems
Can artificial systems be creative? Can they be designed to be creative on their own? What are the requirements of such creative artificial systems? To be able to support humans who are expected to deliver creative solutions, or to automate part of their ... Keywords: Agent, Creativity, Design, Interactivity, Learning, Self-Organization
Pieter H. G. Van Langen; Niek J. E. Wijngaards; Frances M. T. Brazier
Intelligent Car System
In modern life the road safety has becomes the core issue. One single move of a driver can cause horrifying accident. The main goal of intelligent car system is to make communication with other cars on the road. The system is able to control to speed, direction and the distance between the cars the intelligent car system is able to recognize traffic light and is able to take decision according to it. This paper presents a framework of the intelligent car system. I validate several aspect of our system using simulation.
Siddique, Qasim
Artificial light and plant growth
Artificial light and plant growth Name: Lim Age: NA Location: NA Country: NA Date: NA Question: What color of artificial light works the best in plant growth? Replies:...
Previous Meetings: Artificial Retina Project
Previous Meetings Second DOE International Symposium on Artificial Sight, Sponsored by DOE, April 18, 2005 First DOE International Symposium on Artificial Sight, Sponsored by DOE,...
Exercise in artificial gravity
Artificial gravity provided by short radius centrifugation is considered a promising countermeasure to the deleterious physiological effects of microgravity during long-duration space flight. We investigated the feasibility ...
Edmonds, Jessica Leigh
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
The immune system is a remarkable information processing and self learning system that offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a significant degree of success as a branch of Computational Intelligence ... Keywords: AIS, Applications, Models, Review
Dipankar Dasgupta; Senhua Yu; Fernando Nino
DARPA Intelligent Collaboration and Visualization ...
DARPA Intelligent Collaboration and Visualization. Back to VUG Home. Impetus / How Project Began. ITL was asked by ...
A hybrid intelligent system for alarm processing in power distribution substations
This application paper presents an intelligent system for alarm processing and fault location in power substations. A hybrid model is constructed using rule-based systems and an artificial neural network. Incoming alarms are initially handled by an input ... Keywords: Expert systems, fault location, neural networks
J. C. Stacchini de Souza; M. B. Do Coutto Filho; R. S. Freund
Hostile intelligence threat: US technology
This publication outlines the hostile intelligence threat to U.S. industry and Western technology, including the operational capabilities of hostile intelligence services and their scientific and technological (S T) targets. Current intelligence strategies used against the United States are described and sources of information providing countermeasures guidance are listed. Points of contact for security and counterintelligence assistance are also included.
Whitman, D.
Artificial Retina Implant Eligibility
CRADA Established October 14, 2004 CRADA Established October 14, 2004 A Joint Research Partnership Between the U.S. Department of Energy (DOE), DOE Laboratories, Universities, and a Private Company On October 14, 2004, the Department of Energy and Second Sight Medical Products, Inc. of Sylmar, California, held a press conference to announce the formal signing of a CRADA* for the Artificial Retina Project. This press conference included a speech by Energy Secretary Abraham, five minute video presentation, and multiple press releases. The press releases and video are listed below. Video A video explaining the artificial retina project and retinitis pigmentosa was shown during the press conference. This video is available on the video page. "See Artificial Retina Project Overview."
Designing intelligent healthcare operations
Effective decision making is vital in all healthcare activities. While this decision making is typically complex and unstructured, it requires the decision maker to gather multi-spectral data and information in order to make an effective choice when ... Keywords: healthcare operations, intelligence continuum, knowledge management, multi agent systems
Nilmini Wickramasinghe; Christian Guttmann; Jonathan Schaffer
Artificial Heart Valve Design
Artificial Heart Valve Design Your Chance to be a Biomedical Engineer #12;Circulatory System Video #12;What is a Heart Valve? · Heart Valve Video #12;#12;What Does a Heart Valve Do? · Maintain the one direction flow of blood through the heart · Heart valves allow blood to flow through in a forward direction
Provancher, William
Team Highlights: Artificial Retina Project
Research Team Highlights Artificial Retina Team Wins Prestigious 2009 R&D 100 Award Researchers involved with the U.S. Department of Energy's (DOE) Artificial Retina Project have...
Genetic algorithms and artificial life
Genetic algorithms are computational models of evolution that play a central role in many artificial-life models. We review the history and current scope of research on genetic algorithms in artificial life, giving illustrative examples in which the ...
Melanie Mitchell; Stephanie Forrest
doi:10.1155/2012/769702 Review Article Modeling of Biological Intelligence for SCM System Optimization
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms. 1.
Shengyong Chen; Yujun Zheng; Carlo Cattani; Wanliang Wang
An intelligent simulation environment for control system design
The Oak Ridge National Laboratory is currently assisting in the development of advanced control systems for the next generation of nuclear power plants. This paper presents a prototype interactive and intelligent simulation environment being developed to support this effort. The environment combines tools from the field of Artificial Intelligence; in particular object-oriented programming, a LISP programming environment, and a direct manipulation user interface; with traditional numerical methods for simulating combined continuous/discrete processes. The resulting environment is highly interactive and easy to use. Models may be created and modified quickly through a window oriented direct manipulation interface. Models may be modified at any time, even as the simulation is running, and the results observed immediately via real-time graphics. 8 refs., 3 figs.
Robinson, J.T.
Byland's artificial retina story
Vision Quest Pioneer: Artificial Retina Recipient Sees Brighter Future Vision Quest Pioneer: Artificial Retina Recipient Sees Brighter Future Byland and Humayun Terry Byland and Dr. Mark Humayun at a 2006 Council for Competitiveness event. When Terry Byland began having trouble seeing in the dim light of dark restaurants and nightclubs, he wasn't overly concerned. Soon after, however, the problem began to affect his night driving. A year later, he went to an ophthalmologist to have his eyes checked. He wasn't prepared for the grave diagnosis: Retinitis pigmentosa (RP). "What's going to happen to me?" Byland asked his doctor, who told him that eventually he could go blind. RP is a group of relatively rare inherited eye diseases that attack the photoreceptor cells in the retina, affecting about 1 in 4,000 people. Symptoms begin with night blindness, generally progressing to tunnel vision
Artificial Retina Project Collaborators
Collaborators map Map of project collaborators and descriptions of their primary contributions. Click on map for larger image. Artificial Retina Project Collaborators An effort spanning 6 DOE national laboratories, 4 universities, and private industry Multidisciplinary groups across the United States are using a highly focused and coordinated approach to develop a dramatically improved retinal prosthetic device to restore sight to the blind. The Doheny Eye Institute, Oak Ridge National Laboratory, and Second Sight(tm) Medical Products, Inc., lead the collaborative effort through an executive committee. Meet the Team Doheny logo Doheny Eye Institute at the University of Southern California Provided medical direction and performs preclinical and clinical testing of the electrode array implants. Leads the Artificial Retina Project.
Page not found | Department of Energy
Log Porosity and Saturations from Mud Logs and Drilling Rates Using Artificial Intelligence CX(s) Applied: B3.7 Date: 10032011 Location(s): Lea County, New Mexico Office(s):...
CX-007124: Categorical Exclusion Determination | Department of...
Log Porosity and Saturations from Mud Logs and Drilling Rates Using Artificial Intelligence CX(s) Applied: A9 Date: 10032011 Location(s): Socorro, New Mexico Office(s):...
CX-007123: Categorical Exclusion Determination | Department of...
Energy, Entropy, Information, and Intelligence
The paper presents a lightweight discussion of relations between energy, entropy, information, and intelligence, based on an analysis of the energy needed for computation.
Cerny, Vladimir
Developing an Intelligent Tire Concept
... Harvesting System for Next Generation Intelligent Tires with a Real Time Adaptive Control System for Optimized Power Output,� Tire Society Journal ...
What are Intelligent Transportation Intelligent Transportation Systems (ITS) are
What are Intelligent Transportation Systems? Intelligent Transportation Systems (ITS) are existing, combined in innovative ways, integrated into the management of our multimodal transportation system aimed at saving lives, time, and resources. Transportation is the backbone of our society-- the movement of people
Bertini, Robert L.
Protecting Intelligent Distributed Power Grids Against Cyber...
Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Development of a...
Annual Planning Summaries: Intelligence and Counterintelligence...
Intelligence and Counterintelligence (IN) Annual Planning Summaries: Intelligence and Counterintelligence (IN) Document(s) Available For Download January 28, 2011 2011 Annual...
Intelligence Analysis, Integration, and Exploitation: Principal...
Paul Dunn Administrator Sylvia Quintana Phone: 1-505-667-4730 Fax: 1-505-667-4332 Intelligence Analysis, Integration, and Exploitation LANL has worked with the intelligence...
Comparison between artificial neural network and multilinear regression models in an evaluation of cognitive workload in a flight simulator
In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography ... Keywords: Cognitive load, Heart rate analysis, Intelligent systems, Nonlinear data analysis, Psychophysiological stress factors
Manne Hannula; Kerttu Huttunen; Jukka Koskelo; Tomi Laitinen; Tuomo Leino
Framework of agent-based intelligence system with two-stage decision-making process for distributed dynamic scheduling
The advent of multiagent systems, a branch of distributed artificial intelligence, introduced a new approach to problem solving through agents interacting in the problem solving process. In this paper, a collaborative framework of a distributed agent-based ... Keywords: Agent, Compensatory negotiation process, Decision-making, Distributed dynamic scheduling, Fuzzy decision-making process, Multiagent systems
Yee-Ming Chen; Shih-Chang Wang
Artificial mismatch hybridization
An improved nucleic acid hybridization process is provided which employs a modified oligonucleotide and improves the ability to discriminate a control nucleic acid target from a variant nucleic acid target containing a sequence variation. The modified probe contains at least one artificial mismatch relative to the control nucleic acid target in addition to any mismatch(es) arising from the sequence variation. The invention has direct and advantageous application to numerous existing hybridization methods, including, applications that employ, for example, the Polymerase Chain Reaction, allele-specific nucleic acid sequencing methods, and diagnostic hybridization methods.
Guo, Zhen (Madison, WI); Smith, Lloyd M. (Madison, WI)
Artificial Retina In the News
retinal prostheses Neurotech Business Report, 2003 (free) Rays of hope for the blind Wall street Journal, August 27, 2003 (subscription required) Visionary implant: artificial...
Site Map: Artificial Retina Project
Site Index Home About the Project Overview How the Artificial Retina Works Implant Patient Stories Terry Byland Linda M. Kathy B. How to Participate Project Collaborators CRADA...
Past Project on DARPA Intelligent Collaboration and ...
NAME: DARPA Intelligent Collaboration and Visualization CONTACT: Dr. Sharon Laskowski, firstname.lastname@example.com ...
Artificial Agent Action in Markets
We summarise our experiences of a number of demonstrators and simulation experiments designed to test the feasibility of using artificial decision making agents in real-time domains, and comment on the significance of our results to autonomous artificial ... Keywords: norm, pronouncer, real-time decision making, simulation, trust
Robotic intelligence kernel
A robot platform includes perceptors, locomotors, and a system controller. The system controller executes a robot intelligence kernel (RIK) that includes a multi-level architecture and a dynamic autonomy structure. The multi-level architecture includes a robot behavior level for defining robot behaviors, that incorporate robot attributes and a cognitive level for defining conduct modules that blend an adaptive interaction between predefined decision functions and the robot behaviors. The dynamic autonomy structure is configured for modifying a transaction capacity between an operator intervention and a robot initiative and may include multiple levels with at least a teleoperation mode configured to maximize the operator intervention and minimize the robot initiative and an autonomous mode configured to minimize the operator intervention and maximize the robot initiative. Within the RIK at least the cognitive level includes the dynamic autonomy structure.
Bruemmer, David J. (Idaho Falls, ID)
NETL: News Release - DOE, Tampa Electric Sign Agreement to add Intelligent
DOE, Tampa Electric Sign Agreement to Add 'Intelligent' Computer System to Florida Power Plant DOE, Tampa Electric Sign Agreement to Add 'Intelligent' Computer System to Florida Power Plant Latest Effort to Apply 'Neural Networks' To Upgrade Power Plant Performance - Tampa Electric's Big Bend Power Plant - Tampa Electric's Big Bend Power Plant in Florida will soon use artificial intelligence to keep its boilers clean and reduce air pollutants. Photo: Tampa Electric Co TAMPA, FL -The U.S. Department of Energy has signed an agreement with Tampa Electric Power Company to demonstrate how advances in 21st century computer technology can make a vintage-1970s coal-fired power plant run cleaner and more efficiently. The agreement calls for engineers to install a new "neural network-driven" computer system in one of the boiler units at the Big Bend Station near
Video Analytics for Business Intelligence
Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video ...
Caifeng Shan; Fatih Porikli; Tao Xiang; Shaogang Gong
Configuring intelligent mediators using ontologies
This paper presents a new intelligent mediators configuration approach which exploits high expressive description logics to represent metadata, and reasoning tasks in order to build more flexible mediation systems. A user specifies a needs expression ...
Gennaro Bruno; Christine Collet; Genoveva Vargas-Solar
Ecological Consequences of Artificial Night Lighting
of Artificial Night Lighting Catherine Rich and Travisof artificial night lighting. This book provides editedage of modern urban lighting was ushered in. Coincidentally,
Piselli, Kathy
Competitive Intelligence with specific reference to the challenges facing the Competitive Intelligence Professional in South Africa.
??Natural tension exists between decision-makers and intelligence professionals. The main problems involve control over the gathering, interpretation, presentation, and the use of intelligence products in� (more)
Odendaal, Bernardus Johannes
Artificial bee colony algorithm: a survey
In recent years, swarm intelligence has proven its importance for the solution of those problems that cannot be easily dealt with classical mathematical techniques. The foraging behaviour of honey bees produces an intelligent social behaviour and falls ...
Jagdish Chand Bansal; Harish Sharma; Shimpi Singh Jadon
Single artificial-atom lasing
Solid-state superconducting circuits are versatile systems in which quantum states can be engineered and controlled. Recent progress in this area has opened up exciting possibilities for exploring fundamental physics as well as applications in quantum information technology; in a series of experiments it was shown that such circuits can be exploited to generate quantum optical phenomena, by designing superconducting elements as artificial atoms that are coupled coherently to the photon field of a resonator. Here we demonstrate a lasing effect with a single artificial atom - a Josephson-junction charge qubit - embedded in a superconducting resonator. We make use of one of the properties of solid-state artificial atoms, namely that they are strongly and controllably coupled to the resonator modes. The device is essentially different from existing lasers and masers; one and the same artificial atom excited by current injection produces many photons.
O. Astafiev; K. Inomata; A. O. Niskanen; T. Yamamoto; Yu. A. Pashkin; Y. Nakamura; J. S. Tsai
Formal verification of wastewater treatment processes using events detected from continuous signals by means of artificial neural networks. Case study: SBR plant
This paper proposes a modular architecture for the analysis and the validation of wastewater treatment processes. An algorithm using neural networks is used to extract the relevant qualitative patterns, such as ''apexes'', ''knees'' and ''steps'', from ... Keywords: Artificial neural networks, Business process management, Event detection, Intelligent systems, Rule-based management system, SBR
Luca Luccarini; Gianni Luigi Bragadin; Gabriele Colombini; Maurizio Mancini; Paola Mello; Marco Montali; Davide Sottara
Intelligent Energy Holdings | Open Energy Information
Open Energy Info (EERE)
Intelligent Energy Holdings Place London, United Kingdom Zip W1K 5DB Product Intelligent Energy provides energy solutions based on PEM fuel cells for the distributed power and...
An Intelligent Teaching Assistant System for Logic
This paper presents the Logic-ITA, an Intelligent Teaching Assistant system for the teaching/learning of propositional logic. Intelligent Teaching Assistant Systems are dedicated both to learners and teachers. The system embeds three tools: the Logic ...
Leanna Lesta; Kalina Yacef
An Agent-Based Intelligent Transport System
The rapid development of modern transportation brings tremendous challenges to the intelligent transport system. Intelligent computer supported cooperative work (CSCW) and wireless communication technology are more and more used in intelligent transport ... Keywords: Ad-hoc, CSCW, GIS, GPS, IEEE802.11P, ITS, WIMAX
Xiaonan Liu; Zhiyi Fang
Exploring the analytical processes of intelligence analysts
We present an observational case study in which we investigate and analyze the analytical processes of intelligence analysts. Participating analysts in the study carry out two scenarios where they organize and triage information, conduct intelligence ... Keywords: artifact analysis, collaboration, homeland security, intelligence analysis, national security, participant observation, participatory design, work practices, work-oriented design
George Chin, Jr.; Olga A. Kuchar; Katherine E. Wolf
Behavioral analysis of botnets for threat intelligence
This paper examines the behavioral patterns of fast-flux botnets for threat intelligence. The Threat Intelligence infrastructure, which we have specifically developed for fast-flux botnet detection and monitoring, enables this analysis. Cyber criminals ... Keywords: Advanced persistent threat, Botnet, Bulletproof hosting, Cyber threat intelligence, Fast-flux, Malware, Phishing
Alper Caglayan; Mike Toothaker; Dan Drapeau; Dustin Burke; Gerry Eaton
Policy -- v. 4. Counterintelligence and Counterterrorism: Defending the Nation Against Hostile ForcesINTELLIGENCE AND POLICY-MAKING: A BIBLIOGRAPHY Compiled by Greta E. Marlatt Dudley Knox Library://www.nps.edu/Library/Research/Bibliographies/Intelligence/IntellPolicyBib.html #12;INTELLIGENCE
How the Artificial Retina Works
the Artificial Retina Works the Artificial Retina Works Artificial Retina Diagram Normal vision begins when light enters and moves through the eye to strike specialized photoreceptor (light-receiving) cells in the retina called rods and cones. These cells convert light signals to electric impulses that are sent to the optic nerve and the brain. Retinal diseases like age-related macular degeneration and retinitis pigmentosa destroy vision by annihilating these cells. With the artificial retina device, a miniature camera mounted in eyeglasses captures images and wirelessly sends the information to a microprocessor (worn on a belt) that converts the data to an electronic signal and transmits it to a receiver on the eye. The receiver sends the signals through a tiny, thin cable to the microelectrode array, stimulating it to emit pulses. The artificial retina device thus bypasses defunct photoreceptor cells and transmits electrical signals directly to the retina's remaining viable cells. The pulses travel to the optic nerve and, ultimately, to the brain, which perceives patterns of light and dark spots corresponding to the electrodes stimulated. Patients learn to interpret these visual patterns.
Human Performance Optimization: Emerging Management Issues and Artificial Intelligence Methods: Volume 4: Supporting Group Decision Making and Team Operations with Artificial Intelligence
Human performance optimization is critical to all aspects of the energy enterprise. This four-volume report presents findings from a review of the human performance challenges and opportunities created by the changing nature of the energy industry, its workforce, and its work environments.
Press Releases Press Releases News Articles Press Releases Mark Humayun Inducted into Institute of Medicine Institute of Medicine press release, 10/12/2009 Artificial Retina Project Wins Prestigious 2009 R&D 100 Award Article and multiple press releases, 07/20/2009 Second Sight to Double Patient Enrollment for Argus(tm) II Retinal Implant U.S. Clinical Trial Second Sight press release, 05/04/09 See more releases in Press Release Archive Recent Articles Bionic eye opens new world of sight for blind National Public Radio, October 20, 2009 Burst of technology helps blind to see New York Times, September 26, 2009 Artificial retina project has ORNL roots ORNL Reporter, August 28, 2009 The "holy grail" of ophthalmic devices Assembly Magazine, August 20, 2009 Artificial-retina project designed to restore sight to the blind
Sandia National Laboratories: Research: Intelligent Systems, Robotics, &
Swarm Control Technology Swarm Control Technology Swarm A Swarm of Robots Swarm behavior in artificial intelligence is explained as a group of robots working together as a team, much like a swarm of bees or ants. Swarm behavior occurs in nature and we try to mimic this behavior in robotic machines. Robotic Vehicle Squads Cooperating squads of robotic vehicles could be used for fighting forest fires, cleaning up oil spills, delivering and distributing supplies to remote field operations and conducting military missions. Need Using robotic vehicles in place of a human in potentially dangerous situations reduces the risk to human lives. Because a single operator can plan a set of tasks for a squad of robotic vehicles, the coordinated system can significantly increase the effectiveness of a single warfighter in the
Intelligent agents for pandemic modeling
Pandemic scenarios are very complex due to the wide number of variables and critical aspects which have to be considered. In fact these phenomena evolve quickly with strong inertia and influence of stochastic components (i.e. mutation, human decisions, ... Keywords: health care modeling, human behavior, intelligent agents, pandemic
Agostino G. Bruzzone; Marina Massei; Francesca Madeo; Federico Tarone; Julija Petuhova
Artificial Muscle Inc | Open Energy Information
Artificial Muscle Inc Artificial Muscle Inc Jump to: navigation, search Name Artificial Muscle Inc Place California Zip CA 94085 Product Artificial Muscle develops electroactive polymer technology used for sensing, actuating and electric power generation applications. References Artificial Muscle Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This company is listed in the Marine and Hydrokinetic Technology Database. This article is a stub. You can help OpenEI by expanding it. Artificial Muscle Inc is a company located in California . References ↑ "Artificial Muscle Inc" Retrieved from "http://en.openei.org/w/index.php?title=Artificial_Muscle_Inc&oldid=678882" Categories: Clean Energy Organizations Companies Organizations
Building virtual ecosystems from artificial chemistry
This paper adopts an interdisciplinary view of the significant elements of ecosystems and the methods by which these might be simulated to explore theoretical issues of relevance to Artificial Life and Ecology. Artificial Life has largely been concerned ...
Alan Dorin; Kevin B. Korb
Optical interference produced by artificial light
Wireless infrared transmission systems for indoor use are affected by noise and interference induced by natural and artificial ambient light. This paper presents a characterisation (through extensive measurements) of the interference produced by artificial ...
Adriano J. C. Moreira; Rui T. Valadas; A. M. de Oliveira Duarte
A BIO-INSPIRED METHODOLOGY FOR ARTIFICIAL OLFACTION. Joshua L. Hertz, Baranidharan Raman, Kurt D. Benkstein and Steve Semancik. ...
A semiotic multi-agent system for intelligent building control
Intelligent agents have often been used within intelligent buildings for autonomous actuation of heating, ventilation and air conditioning systems (HVAC) within intelligent buildings. Ubiquitous wireless sensors send environmental data such as temperature, ... Keywords: actuators, affordance, ambient intelligence, collaborative negotiation, intelligent buildings, multi-agent systems, personalisation, pervasive space, semiotics, wireless sensor network
Darren Booy; Kecheng Liu; Bing Qiao; Chris Guy
Modeling biochemical pathways using an artificial chemistry
Artificial chemistries are candidates for methodologies that model and design biochemical systems. If artificial chemistries can deal with such systems in beneficial ways, they may facilitate activities in the new area of biomolecular engineering. In ... Keywords: Artificial chemistry, biochemical pathways, biomolecular engineering, modularity, reasoning, scalability
Kazuto Tominaga; Yoshikazu Suzuki; Keiji Kobayashi; Tooru Watanabe; Kazumasa Koizumi; Koji Kishi
Context-Enabled Business Intelligence
To truly understand context and apply it in business intelligence, it is vital to understand what context is and how it can be applied in addressing organizational needs. Context describes the facets of the environment that impact the way that end users interact with the system. Context includes aspects of location, chronology, access method, demographics, social influence/ relationships, end-user attitude/ emotional state, behavior/ past behavior, and presence. To be successful in making Business Intelligence content enabled, it is important to be able to capture the context of use user. With advances in technology, there are a number of ways in which this user based information can be gathered and exposed to enhance the overall end user experience.
Toward the Intelligent Web Systems
The grand vision of Tim Barners-Lee, director of the World Wide Web Consortium (W3C) founded in 1994, of changing the non-semantic Web (Web 1.0, Web 2.0) to semantic Web (Web 3.0) will connect all the web sites and will make their systems interoperable. ... Keywords: Semantic Web, Web 2.0, Web 3.0, Intelligent Web Systems
Radha Guha
Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)
This report contains the following papers: Implications in vivid logic; a self-learning Bayesian Expert System; a natural language generation system for a heterogeneous distributed database system; ``competence-switching`` managed by intelligent systems; strategy acquisition by an artificial neural network: Experiments in learning to play a stochastic game; viewpoints and selective inheritance in object-oriented modeling; multivariate discretization of continuous attributes for machine learning; utilization of the case-based reasoning method to resolve dynamic problems; formalization of an ontology of ceramic science in CLASSIC; linguistic tools for intelligent systems; an application of rough sets in knowledge synthesis; and a relational model for imprecise queries. These papers have been indexed separately.
Harber, K.S. [ed.
This report contains the following papers: Implications in vivid logic; a self-learning bayesian expert system; a natural language generation system for a heterogeneous distributed database system; competence-switching'' managed by intelligent systems; strategy acquisition by an artificial neural network: Experiments in learning to play a stochastic game; viewpoints and selective inheritance in object-oriented modeling; multivariate discretization of continuous attributes for machine learning; utilization of the case-based reasoning method to resolve dynamic problems; formalization of an ontology of ceramic science in CLASSIC; linguistic tools for intelligent systems; an application of rough sets in knowledge synthesis; and a relational model for imprecise queries. These papers have been indexed separately.
Harber, K.S. (ed.)
The DOE Artificial Retina Project
ENvisioNiNG siGht for thE BLiND ENvisioNiNG siGht for thE BLiND The DOE Artificial Retina Project Leveraging DOE expertise to enhance the quality of life for millions Major advances achieved by researchers in the U.S. Department of Energy's (DOE) Artificial Retina Project are beginning to offer some hope to millions of people blinded by retinal diseases worldwide. In a breakthrough operation performed by project leaders at the Doheny Eye Institute (University of Southern California) in 2002, doctors threaded an electrode-studded array through an incision into the eye of a man who had been blind for 50 years and tacked it onto his damaged retina. Within weeks, the 77-year-old patient could see patterns of light and dark that allowed him to detect motion and locate and differentiate
Artificial Retina Implant Patient Stories
Interviews with Artificial Retina Recipients Interviews with Artificial Retina Recipients Image of Mr. R Mr. R: Argus II recipient (Italy) You Tube video (2012; 2011 implantee) Image of Mr. F Mr. F: Argus II recipient (Italy) You Tube video (2012; 2011 implantee) Image of Mr. P Mr. P: Argus II recipient (France) You Tube video (2012; 2009 implantee) Image of Mr. K Mr. K: Argus II recipient (England) You Tube video (2012; 2009 implantee) Image promoting Mail Online Article Peter L.: Blind man fitted with 'bionic eye' sees for first time in 30 years Mail Online (UK) (2009) Image promoting Mail Online Article Barbara C .: Blind U.S. woman has experimental electronic eye implant CNN video and article (2009) NDTV video and article (2009) Image promoting BBC story Ron: The man with the bionic eye BBC Video and article (2009)
Web Intelligence and Agent Systems: An International Journal 0 (2012) 10 1 Introducing Web Intelligence for
Web Intelligence and Agent Systems: An International Journal 0 (2012) 10 1 IOS Press Introducing Web Intelligence for Communities Laurent Vercouter a , Pierre Maret b a LITIS Laboratory, MIU firstname.lastname@example.com 1. Introduction The field of Web Intelligence has grown quickly in the last decade as a crossroads
Paris-Sud XI, Université de
Finance Reporting Oracle Business Intelligence EnterpriseOracle Business Intelligence Enterprise
to information management, business intelligence and performance measurement activities (such as developing and providing "business intelligence" solutions to attend to information needs are new to our campus. Since we. · implementing "business intelligence" solutions that allow us to obtain the most value from our information
de la Torre, José R.
NETL: News Release - Intelligent Pipe Technology Communicates...
May 4, 2005 Intelligent Pipe Technology Communicates Faster than Internet Technology on Verge of Commercialization Provides Fast, Reliable Communication During Downhole Drilling...
Intelligent Software Agents for Enhancing Sensor Networks ...
Technology Marketing Summary Intelligent software agents developed by ORNL researchers can be used with sensor networks in distributed and centralized computing ...
Distributed Resources and Intelligent Agents - CECM
Distributed Resources and Intelligent Agents. Scientific collaboration ... This can also be expected of all of the third-generation web languages. The rest of this�...
Building Technologies Office: Distributed Intelligent-Automated...
Distributed Intelligent-Automated Demand Response Building Management System Research Project to someone by E-mail Share Building Technologies Office: Distributed...
Information Technology Solutions Intelligent Grid Technologies
energy storage and how to use different forms of energy more efficiently The technologies and methodologies for the Intelligent Grid available for
An Intelligent SQL Tutor on the Web
The paper presents SQLT-Web, a Web-enabled intelligent tutoring system for the SQL database language. SQLT-Web is a Web-enabled version of an earlier, standalone ITS. In this paper we describe how the components of the standalone system were reused to ... Keywords: Web-based ITS, architectures for adaptive and intelligent Web-based educational systems, empirical studies of Web-based adaptive and intelligent educational systems, intelligent problem solving support via the Web, student modelling and student model servers in the Web context
Antonija Mitrovic
Intelligent Fluid Infrastructure for Embedded Networking
mobile element into the networking infrastructure.Our fluid infrastructure design saves significant energy inIntelligent Fluid Infrastructure for Embedded Networks Aman
Kansal, Aman; Somasundara, Arun; Jea, David C; Srivastava, Mani B; Estrin, D
Intelligent Fluid Infrastructure for Embedded Networks
Intelligent Fluid Infrastructure for Embedded Networks Amanto develop a fluid infrastructure: mobile components arebuilt into the system infrastructure for enabling specific
Aman Kansal; Arun Somasundara; David Jea; Mani Srivastava; Deborah Estrin
Performance Evaluation and Benchmarking of Intelligent ...
Performance Evaluation and Benchmarking of Intelligent Systems Book. 2009, XIX, 338 p., Hardcover ISBN: 978-1-4419-0491-1 ... About this book: ...
Intelligent Transportation Systems - Center for Transportation Analysis
Intelligent Transportation Systems Intelligent Transportation Systems The Center for Transportation Analysis does specialty research and development in intelligent transportation systems. Intelligent Transportation Systems (ITS) are part of the national strategy for improving the operational safety, efficiency, and security of our nation's highways. Since the early 1990s, ITS has been the umbrella under which significant efforts have been conducted in research, development, testing, deployment and integration of advanced technologies to improve the measures of effectiveness of our national highway network. These measures include level of congestion, the number of accidents and fatalities, delay, throughput, access to transportation, and fuel efficiency. A transportation future that includes ITS will involve a significant improvement in these
Research on the Integration Application of Business Intelligence and ERP
This paper analyzes the limitation of traditional ERP system, briefly introduces the ERP system and business intelligence technology, focus on the business intelligence technology and ERP system integration application architecture, discusses the various ... Keywords: business intelligence, ERP, framework, integration application
Lianqiu Zhou
About the Artificial Retina Project
Overview of the Overview of the Artificial Retina Project The DOE Artificial Retina Project was a multi-institutional collaborative effort to develop and implant a device containing an array of microelectrodes into the eyes of people blinded by retinal disease. The ultimate goal was to design a device to help restore limited vision that enables reading, unaided mobility, and facial recognition. The device is intended to bypass the damaged eye structure of those with retinitis pigmentosa and macular degeneration. These diseases destroy the light-sensing cells (photoreceptors, or rods and cones) in the retina, a multilayered membrane located at the back of the eye. For more information, see How the Artificial Retina Works. History The DOE project builds on the foundational work of its leader, Mark Humayun at the Doheny Eye Institute of the University of Southern California. In a breakthrough operation performed in 2002, a team led by Humayun successfully implanted the first device of its kind-an array containing 16 microelectrodes-into the eye of a patient who had been blind for more than 50 years. Since then, more than 30 additional volunteers around the world have had first- or second-generation (60-electrode) devices implanted. These devices enable patients to distinguish light from dark and localize large objects. For more information, read patient stories.
Responsive and Intelligent Building Information and Control for...
Responsive and Intelligent Building Information and Control for Low-Energy and Optimized Grid Integration Title Responsive and Intelligent Building Information and Control for...
Before the House Subcommittee on Counterterrorism and Intelligence...
Counterterrorism and Intelligence - Committee on Homeland Security Before the House Subcommittee on Counterterrorism and Intelligence - Committee on Homeland Security Before the...
Artificial neural network modeling and cluster analysis for organic facies and burial history estimation using well log data: A case study of the South Pars Gas Field, Persian Gulf, Iran
Intelligent and statistical techniques were used to extract the hidden organic facies from well log responses in the Giant South Pars Gas Field, Persian Gulf, Iran. Kazhdomi Formation of Mid-Cretaceous and Kangan-Dalan Formations of Permo-Triassic Data ... Keywords: Artificial neural network, Burial history, Cluster analysis, Organic facies, Rock-Eval pyrolysis, Well log data
Bahram Alizadeh; Saeid Najjari; Ali Kadkhodaie-Ilkhchi
Intelligent Satellite Teams Space Systems
This paper examines the development of Intelligent Satellite Teams (IST's) for complex space missions such as construction of space hardware, or Earth or space science. IST's are composed of many nanosatellites (mass control including formation flying, collision avoidance, knowledge sharing, and adaptive reconfiguration; microtechnology including microelectromechanical systems (MEMS), microfabricated sensors and actuators, nanotechnology, and integrated wireless communication; mission analysis -- high-level planning and control of mission, satellites, and procedures. Recent rapid technological advances in these fields open up exciting new possibilities for future space missions: space science missions such as testing gravitational variation, detecting and characterizing near-Earth asteroids and comets, and comprehensive exploration of the solar system; Earth science missions ...
Mark E. Campbell; Karl F. B�hringer
On contemporary denotational mathematics for computational intelligence
Denotational mathematics is a category of expressive mathematicalstructures that deals with high-level mathematical entities beyond numbers andsets, such as abstract objects, complex relations, behavioral information, concepts,knowledge, processes, intelligence, ... Keywords: RTPA, big-R notation, cognitive informatics, computational intelligence, concept algebra, denotational mathematics, embedded relations, incremental relations, knowledge engineering, process algebra, software engineering, system algebra
Yingxu Wang
Distributed Intelligence for Constructing Economic Models
This paper presents an integrated and distributed intelligent system being capable of automatically estimating and updating large-size economic models. The input-output model of economics uses a matrix representation of a nation's or a region's economy ... Keywords: Distributed Intelligence, Economic Models, Environmental Impact Assessment, Input-Output Tables, Machine Learning, Matrix Estimation, Parallel Optimization
Ting Yu
Fuzzy communication in collaboration of intelligent agents
This paper presents some examples for fuzzy communication and intention guessing from the real life to the cooperation of intelligent mobile robots. In a special experimental environment a new communication approach is investigated for intelligent cooperation ... Keywords: fuzzy communication, fuzzy signatures, intention guessing, robot cooperation
�ron Ballagi; L�szl� T. K�czy
Introduction to Biological Inspiration for Intelligent Systems
This paper serves as a short introduction for the special PerMIS session on Biological Inspiration (BI) for Intelligent Systems. The paper is organized into 4 parts. Part 1 provides a brief introduction to the idea and history of bio-inspiration for ... Keywords: biological inspiration, developmental robotics, dual cognitive systems, intelligent systems
Gary Berg-Cross
Implementing Fuzzy Expert System for intelligent buildings
In this paper we present the design of an intelligent dome, as well as the design and implementation of the Fuzzy Expert System for the module controlling Ventilation and Air Conditioning. The system was designed as a Client/Server, Blackboard architecture, ... Keywords: Fuzzy Expert Systems, domotics, intelligent buildings, knowledge based systems, knowledge engineering
Carlos A. Reyes-Garcia; Elva. Corona
Business Intelligence and Analytics: Research Directions
Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving ... Keywords: Business intelligence, business analytics
Ee-Peng Lim; Hsinchun Chen; Guoqing Chen
Intelligent sea transportation system postoptimal analysis
A procedure for the ship dynamic positioning postoptimal analysis in Intelligent Sea Transportation System Optimization is proposed. The dynamic positioning control system design is based on the optimal constrained covariance control (OC3). ... Keywords: LQG control, dynamic positioning, intelligent transportation system, mathematical modelling, optimization problems, postoptimal analysis, robust control
Sadko Mand�uka; Ivan Bo�njak; Ljupko �imunovic
Distributed Intelligent Automated Demand Response (DIADR) Building
Distributed Intelligent Automated Demand Distributed Intelligent Automated Demand Response (DIADR) Building Management System Distributed Intelligent Automated Demand Response (DIADR) Building Management System The U.S. Department of Energy (DOE) is currently conducting research into distributed intelligent-automated demand response (DIADR) building management systems. Project Description This project aims to develop a DIADR building management system with intelligent optimization and control algorithms for demand management, taking into account a multitude of factors affecting cost including: Comfort Heating, ventilating, and air conditioning (HVAC) Lighting Other building systems Climate Usage and occupancy patterns. The key challenge is to provide the demand response the ability to address more and more complex building systems that include a variety of loads,
Current trends in transmission system planning needed in competitive and deregulated environment using artificial intelligence
This paper picturesquely depicts the changing trends and values under new circumstances which are developed in the sector of electric power system i.e. generation side and partly on the way in transmission and distribution network. A very clear advocacy ... Keywords: competitive, congestion, deregulation, market dynamic, monitoring, restructuring
Aamir Mahboob Ilahi; Suhail Aftab Qureshi
Automatic hydraulic fracturing design for low permeability reservoirs using artificial intelligence
The hydraulic fracturing technique is one of the major developments in petroleum engineering in the last two decades. Today, nearly all the wells completed in low permeability gas reservoirs require a hydraulic fracturing treatment in order to produce ...
Andrei Sergiu Popa / Shahab Mohaghegh
Automatic hydraulic fracturing design for low permeability reservoirs using artificial intelligence.
??The hydraulic fracturing technique is one of the major developments in petroleum engineering in the last two decades. Today, nearly all the wells completed in� (more)
Popa, Sergui Andrei, 1970-
Modeling, History Matching, Forecasting and Analysis of Shale Reservoirs Performance Using Artificial Intelligence
matching, forecasting and analyzing oil and gas production in shale reservoirs. In this new approach and analysis of oil and gas production from shale formations. Examples of three case studies in Lower Huron and New Albany shale formations (gas producing) and Bakken Shale (oil producing) is presented
Mohaghegh, Shahab
Engineering Applications of Artificial Intelligence 16 (2003) 237250 Hierarchical decision making for proactive quality control: system
and error in troubleshooting is a usual practice. In this paper, we introduce a proactive QC approach
Huang, Yinlun
Putting the "Smarts" into the Smart Grid: A Grand Challenge for Artificial Intelligence
our ability to pro- duce them (so called `peak oil') [9]. Many mature oil and gas fields around world oil production will peak vary between 0-20 years into the future, but even the most conservative estimates pro- vide little scope for complacency given the significant price increases that peak oil
Southampton, University of
Lecture Notes in Artificial Intelligence 4790 Edited by J. G. Carbonell and J. Siekmann
); and on board the ship "Marshal Koshevoi" (1994). In 1999, the conference was held in Tbilisi, Georgia. The 8th to the 13th meetings were held in the following locations: Havana, Cuba (2001); Tbilisi, Georgia
Dershowitz, Nachum
Forecasting, Sensitivity and Economic Analysis of Hydrocarbon Production from Shale Plays Using Artificial Intelligence & Data Mining
observed, that might be because of high demand of natural gas over the winter, then the production followed technologies of horizontal drilling and hydraulic fracturing make the extraction of natural gas from extremely in the natural gas industry that raise concerns about economic viability of this phenomenon. In order
Copyright IFAC Artificial Intelligence in Real-Time Control, Delft, The Netherlands, 1992
Fortescue (1981) canbe applied to themode- recognition problem by keeping the sum t~ constant for the modelOxfordUK. Fortescue, T.R., L.S. Kershenbaum,and B.E. Ydstie, (1981), Im- plementation of Self-tuning Regulators
Twente, Universiteit
Artificial Intelligence (1999) 181--211 Between MDPs and semiMDPs
include picking object, going lunch, traveling to a distant as well primitive actions such muscle twitches courses action over a broad range time scales. Consider a traveler deciding undertake journey distant city with multiple overlapping time scales? Temporal abstraction has been explored in least since early 1970's
Massachusetts at Amherst, University of
and MADALINES . . . . . . . . . . . . . . . 98 4.2.3 The MINOS Systems at SRI . . . . . . . . . . . . . . . . 98 System . . . . . . . . . . . . . . . . . . . 173 9.3.2 The "Summer Vision Project to Early 1980s 265 17 Speech Recognition and Understanding Systems 267 17.1 Speech Processing
Nilsson, Nils J.
Plenary lecture 4: biomedical image processing and analysis by using artificial intelligence and information fusion
Medical imaging mainly manages and processes missing, ambiguous, complementary, redundant and distorted data and information has a strong structural character. The understanding of any image involves the matching of features extracted from the image ...
Hariton Costin
Most common courses of specializations in artificial intelligence, computer systems, and theory
The degree requirements of American institutions offering top-level graduate programs in computer science were analyzed. The sample size was 59 institutions for undergraduate and 32 for graduate programs. The purpose was to solve which courses were the ... Keywords: advanced courses, content analysis, degree requirements, document analysis, graduate program
Sami Surakka
Artificial Intelligence Based Green Technology Retrofit for Misfire Detection in Old Engines
The core theme of the paper is misfire detection using random forest algorithm and decision tree based machine learning models for emission minimization in gasoline passenger vehicles. The engine block vibration signals are used for misfire detection. ... Keywords: Emission Control, Engine Condition Monitoring, Green Technology, IC Engine, Misfire, Rule Based Models, Signal Processing
S. Babu Devasenapati; K. I. Ramachandran
Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals
Secondary phases such as Laves and carbides are formed during the final solidification stages of nickel based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can ... Keywords: Bayesian classifiers, Detrended fluctuation analysis and Hurst method, Feature extraction, Nickel-based alloy, Non-destructive inspection, Optimum-path forest, Support vector machines, Thermal aging
Thiago M. Nunes; Victor Hugo C. De Albuquerque; Jo�O P. Papa; Cleiton C. Silva; Paulo G. Normando; Elineudo P. Moura; Jo�O Manuel R. S. Tavares
Artificial Retina Project Spurs New Technologies
of Energy's (DOE) Artificial Retina Project has led to cutting-edge innovations as well as several unanticipated discoveries and spinoffs that are increasing the value of...
Carbon Nanofiber Arrays Introduced as Artificial Local ...
ORNL 2010-G00642/jcn UT-B IDs PFTT-200100978, PFTT-200201199, PFTT-200401482, PFTT-200401483 Carbon Nanofiber Arrays Introduced as Artificial Local ...
Artificial Photosynthesis Group | Chemistry Department | Brookhaven...
About the Artificial Photosynthesis Group Our Team Etsuko Fujita (Lead PI), James T. Muckerman (PI), Javier J. Concepcion (PI), David C. Grills (PI), Dmitry E. Polyansky (PI). More...
2010 Performance Metrics for Intelligent Systems (PerMIS'10) ...
... Intelligent systems for Hazardous Environments (eg nuclear remediation); Smart Grid; Space Robotics; Medical & Healthcare. Past Workshops. ...
Homeland Security Programs/Projects for the Intelligent ...
Homeland Security Programs/Projects for the Intelligent Systems Division. Department of Homeland Security Urban Search ...
Ontologies for Intelligent e-Therapy: Application to Obesity
In this paper we propose a new approach for mental e-health treatments named intelligent e-therapy (e-it) with capabilities for ambient intelligence and ubiquitous computing. The proposed e-it system supposes an evolution of cybertherapy and telepsychology ... Keywords: Obesity, ambient intelligence, cognitive behavioural therapy, intelligent e-therapy, ontology
Irene Zaragoz�; Jaime Guixeres; Mariano Alca�iz
An intelligent tutoring system for deaf learners of written English
Keywords: American Sign Language, English literacy, intelligent tutoring systems, second language acquisition, user modeling
Lisa N. Michaud; Kathleen F. McCoy; Christopher A. Pennington
2012 Performance Metrics for Intelligent Systems (PerMIS'12) ...
... Intelligent Transportation Systems; Defense and Security; Emergency Response ... and Robots for Hazardous Environments (eg nuclear remediation); ...
Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May
Protecting Intelligent Distributed Power Grids Against Cyber Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Development of a novel distributed and hierarchical security layer specific to intelligent grid design will help protect intelligent distributed power grids from cyber attacks. Intelligent power grids are interdependent energy management systems-encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. But increased interconnection and automation over a large geographical area requires a distributed and hierarchical approach to cybersecurity. Protecting Intelligent Distributed Power Grids Again Cyber Attacks.pdf
Office of Intelligence and Counterintelligence | Department of Energy
NLE Websites -- All DOE Office Websites
Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Steven K. Black, Director The U.S. Department of Energy's Office of Intelligence and Counterintelligence is responsible for all intelligence and counterintelligence activities throughout the DOE complex, including nearly thirty intelligence and counterintelligence offices nationwide. The Office protects vital national security information and technologies, representing intellectual property of incalculable value. Our distinctive contribution to national security is the ability to leverage the Energy Department's unmatched scientific and technological expertise in support of policymakers as well as national security missions in defense, homeland
Intelligence Reform and Terroroism Prevention Act - December 17, 2004 |
Intelligence Reform and Terroroism Prevention Act - December 17, Intelligence Reform and Terroroism Prevention Act - December 17, 2004 Intelligence Reform and Terroroism Prevention Act - December 17, 2004 December 17, 2004 To reform the intelligence community and the intelligence and intelligence-related activities of the United States Government, and for other purposes. SEC. 102. (a) DIRECTOR OF NATIONAL INTELLIGENCE.-(1) There is a Director of National Intelligence who shall be appointed by the President, by and with the advice and consent of the Senate. Any individual nominated for appointment as Director of National Intelligence shall have extensive national security expertise. ''(2) The Director of National Intelligence shall not be located within the Executive Office of the President. ''(b) PRINCIPAL RESPONSIBILITY.-Subject to the authority, direction,
Intelligent Generation | Open Energy Information
Generation Generation Jump to: navigation, search Name Intelligent Generation Place Chicago, Illinois Zip 60603 Sector Renewable Energy Product Chicago-based maker of software aimed at optimising distributed renewable energy generation and power storage. Coordinates 41.88415°, -87.632409° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.88415,"lon":-87.632409,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
One patient's artificial retina story
Helping To Advance the Frontiers of Medical Research Helping To Advance the Frontiers of Medical Research A patient's perspective on what the retinal implant has meant to her Patient following a white line In psychophysical testing, Kathy B. demonstrates how her artificial retina implant allows her to walk along a white line to its termination. A highly functioning person with a job, family, and household to tend to, Kathy B. doesn't feel like she's blind despite the fact that she's had no vision for about 15 years. Nevertheless, she was excited when she recently was able to find the full moon in the dark, nighttime sky. "We were out walking, and I looked upwards, scanning my head back and forth," Kathy B. explains. "All of a sudden, I saw a big flash, and I asked my husband, 'Is that the moon?'" It was, and she began thinking
Biofluid lubrication for artificial joints
This research investigated biofluid lubrication related to artificial joints using tribological and rheological approaches. Biofluids studied here represent two categories of fluids, base fluids and nanostructured biofluids. Base fluids were studied through comparison of synthetic fluids (simulated body fluid and hyaluronic acid) as well as natural biofluids (from dogs, horses, and humans) in terms of viscosity and fluid shear stress. The nano-structured biofluids were formed using molecules having well-defined shapes. Understanding nano-structured biofluids leads to new ways of design and synthesis of biofluids that are beneficial for artificial joint performance. Experimental approaches were utilized in the present research. This includes basic analysis of biofluids� property, such as viscosity, fluid shear stress, and shear rate using rheological experiments. Tribological investigation and surface characterization were conducted in order to understand effects of molecular and nanostructures on fluid lubrication. Workpiece surface structure and wear mechanisms were investigated using a scanning electron microscope and a transmission electron microscope. The surface topography was examined using a profilometer. The results demonstrated that with the adding of solid additives, such as crown ether or fullerene acted as rough as the other solids in the 3-body wear systems. In addition, the fullerene supplied low friction and low wear, which designates the lubrication purpose of this particular particle system. This dissertation is constructed of six chapters. The first chapter is an introduction to body fluids, as mentioned earlier. After Chapter II, it examines the motivation and approach of the present research, Chapter III discusses the experimental approaches, including materials, experimental setup, and conditions. In Chapter IV, lubrication properties of various fluids are discussed. The tribological properties and performance nanostructured biofluids are discussed in Chapter V, followed by summary and conclusions in Chapter VI.
Pendelton, Alice Mae
INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE Steven
Rosenberg, Steven
Cloning humans, increasing intelligence, and AIDS money
Cloning humans, increasing intelligence, and AIDS money Name: Eric T Jenes Status: NA Age: NA Location: NA Country: NA Date: NA Question: How close are we to cloning humans?...
From Business Intelligence to Business Optimization
5/5/2011 1 Next Generation Business Intelligence Neeharika Tummala and Ahmad R. Hejran Department state efficiency of one process with answers to these questions: 1. Where are the delays in the process
Content Analysis for Proactive Protective Intelligence
The aim of this paper is to outline a plan for developing and validating a Proactive Protective Intelligence approach that prevents targeted violence through the analysis and assessment of threats overtly or covertly expressed in abnormal communications to USSS protectees.
Sanfilippo, Antonio P.
B. INTELLIGENCE COMMUNITY STANDARD (ICS) RENUMBERING: Per
renumbered ICS 700-1. The content and page numbering of this ICS remain unchanged. This page is the coversheet for the existing ICS until its next revision. OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE
unknown authors
Plenary lecture 3: pervasive business intelligence architecture
Pervasive business intelligence (BI) is the ability to deliver integrated right-time information to all users - including managers at all levels, front-line and back-office employees, suppliers, customers, and business partners. It provides an enterprise ...
Zeljko Panian
IBM intelligent Bricks project: petabytes and beyond
This paper provides an overview of the Intelligent Bricks project in progress at IBM Research. It describes common problems faced by data center operators and proposes a comprehensive solution based on brick architectures. Bricks are hardware building ...
W. W. Wilcke; R. B. Garner; C. Fleiner; R. F. Freitas; R. A. Golding; J. S. Glider; D. R. Kenchammana-Hosekote; J. L. Hafner; K. M. Mohiuddin; K. K. Rao; R. A. Becker-Szendy; T. M. Wong; O. A. Zaki; M. Hernandez; K. R. Fernandez; H. Huels; H. Lenk; K. Smolin; M. Ries; C. Goettert; T. Picunko; B. J. Rubin; H. Kahn; T. Loo
Intelligent predictive control of micro heat exchanger
An intelligent predictive control to temperature control of a micro heat exchanger is addressed. First, the dynamics of the micro heat exchanger is identified using a locally linear model. Then, the predictive control strategy based on this model of ...
Mehdi Galily; Farzad Habibipour Roudsari; Masoum Fardis; Ali Yazdian
Methodology for building an intelligent tutoring system
Over the past 6 years we have been developing a computer program to teach medical diagnosis. Our research synthesizes and extends results in artlficlal intelligence (Al), medicine, and cognitive psychology. This paper describes the progression of the ...
William J. Clancey
Knowledge extraction from intelligent electronic devices
Most substations today contain a large number of Intelligent Electronic Devices (IEDs), each of which captures and stores locally measured analogue signals, and monitors the operating status of plant items. A key issue for substation data analysis is ...
Ching-Lai Hor; Peter A. Crossley
Introduction: Ontologies, Semantic Technologies, and Intelligence
In recent years ontologies and semantic technologies more generally have begun to be applied to assist the intelligence community, for information integration, information-sharing, decision-support, and in many other applications. This chapter introduces ...
Terry Janssen; Leo Obrst; Werner Ceusters
Bringing Intelligence to Building Energy Use
Bringing Intelligence to Building Energy Use Speaker(s): David Helliwell Date: November 4, 2008 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Brian Coffey This seminar...
Intelligent Planning for Autonomous Underwater Vehicles
Intelligent Planning for Autonomous Underwater Vehicles Zeyn Saigol January 31, 2007 Supervisors Underwater Vehicles Classical planning systems Problem specification Markov Decision Processes 2 / 10 #12 in relaxing these planning under uncertainty Application area: Autonomous Underwater Vehicles (AUVs) used
Yao, Xin
of the Palgrave Macmillan series, Initiatives in Strategic Studies: Issues and Policies. Professor Wirtz is a past Science, Astropolitics, Comparative Strategy, Contemporary Security Policy, Defense Analysis, Harvard of Intelligence and Counterintelligence, International Security, International Studies Notes, Joint Forces
Applied Virtual Intelligence in Oil & Gas Industry;
1 Applied Virtual Intelligence in Oil & Gas Industry; Past, Present, & Future Shahab D. Mohaghegh on a daily basis by almost everyone. Credit Card Fraud Detection Bank Loan Approval Bomb Sniffing Devices
An Intelligent Anthropomorphic Hand, with Automatic Grasp
The current designs of commercial artificial hands have a low level of innovation. As feedback to the user is difficult to achieve reliably, most devices are simple in design and operation, and limited in functional range. If information on the state ... Keywords: Artificial arms, Exo-Prosthetics, Hierarchical control, Microcontroller applications
Peter J. Kyberd; Mervyn Evans; Stefan Te Winkel
Theory, Design and Development of Artificial Magnetic Materials.
??Artificial Magnetic Materials (AMMs) are a subgroup of metamaterials which are engineered to provide desirable magnetic properties not seen in natural materials. These artificial structures� (more)
Yousefi, Leila
Instrumentation, Control, and Intelligent Systems
Abundant and affordable energy is required for U.S. economic stability and national security. Advanced nuclear power plants offer the best near-term potential to generate abundant, affordable, and sustainable electricity and hydrogen without appreciable generation of greenhouse gases. To that end, Idaho National Laboratory (INL) has been charged with leading the revitalization of nuclear power in the U.S. The INL vision is to become the preeminent nuclear energy laboratory with synergistic, world-class, multi-program capabilities and partnerships by 2015. The vision focuses on four essential destinations: (1) Be the preeminent internationally-recognized nuclear energy research, development, and demonstration laboratory; (2) Be a major center for national security technology development and demonstration; (3) Be a multi-program national laboratory with world-class capabilities; (4) Foster academic, industry, government, and international collaborations to produce the needed investment, programs, and expertise. Crucial to that effort is the inclusion of research in advanced instrumentation, control, and intelligent systems (ICIS) for use in current and advanced power and energy security systems to enable increased performance, reliability, security, and safety. For nuclear energy plants, ICIS will extend the lifetime of power plant systems, increase performance and power output, and ensure reliable operation within the system's safety margin; for national security applications, ICIS will enable increased protection of our nation's critical infrastructure. In general, ICIS will cost-effectively increase performance for all energy security systems.
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Self-Assembly and Mass Transport in Membranes for Artificial Photosynthesis
for artificial photosynthesis systems ..6Photosynthesis 7up process of artificial photosynthesis membranes and open
Modestino, Miguel Antonio
Performance Evaluation and Benchmarking of Intelligent Systems
To design and develop capable, dependable, and affordable intelligent systems, their performance must be measurable. Scientific methodologies for standardization and benchmarking are crucial for quantitatively evaluating the performance of emerging robotic and intelligent systems technologies. There is currently no accepted standard for quantitatively measuring the performance of these systems against user-defined requirements; and furthermore, there is no consensus on what objective evaluation procedures need to be followed to understand the performance of these systems. The lack of reproducible and repeatable test methods has precluded researchers working towards a common goal from exchanging and communicating results, inter-comparing system performance, and leveraging previous work that could otherwise avoid duplication and expedite technology transfer. Currently, this lack of cohesion in the community hinders progress in many domains, such as manufacturing, service, healthcare, and security. By providing the research community with access to standardized tools, reference data sets, and open source libraries of solutions, researchers and consumers will be able to evaluate the cost and benefits associated with intelligent systems and associated technologies. In this vein, the edited book volume addresses performance evaluation and metrics for intelligent systems, in general, while emphasizing the need and solutions for standardized methods. To the knowledge of the editors, there is not a single book on the market that is solely dedicated to the subject of performance evaluation and benchmarking of intelligent systems. Even books that address this topic do so only marginally or are out of date. The research work presented in this volume fills this void by drawing from the experiences and insights of experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. The book presents a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems.
Madhavan, Raj [ORNL; Messina, Elena [National Institute of Standards and Technology (NIST); Tunstel, Edward [JHU Applied Physics Laboratory
Artificial Stereo Presentation of Meteorological Data Fields
The innate capability to perceive 3-dimensional stereo imagery has been exploited to present multidimensional meteorological data fields. Variations on an artificial stereo technique first discussed by Pichel et al (1973) are used to display ...
A. F. Hasler; M. desJardins; A. J. Negri
Architecture for an Artificial Immune System
An artificial immune system (ARTIS) is described which incorporates many properties of natural immune systems, including diversity, distributed computation, error tolerance, dynamic learning and adaptation, and self-monitoring. ARTIS is a general framework ...
Steven A. Hofmeyr; Stephanie A. Forrest
Perception modeling for human-like artificial sensor systems
In this article we present an approach to the design of human-like artificial systems. It uses a perception model to describe how sensory information is processed for a particular task and to correlate human and artificial perception. Since human-like ... Keywords: Active perception, Artificial hand, Artificial perceptual systems, Dexterous manipulation, Electronic tongue, Human-based sensors, Passive perception
Linn Robertsson; Boyko Iliev; Rainer Palm; Peter Wide
Live business intelligence for the real-time enterprise
We present our vision of a unified data management and analytics platform, which we call "Live Business Intelligence" (LiveBI) that transforms business intelligence from the traditional back-office, report-oriented platform, to an enabler for delivering ...
Malu Castellanos; Umeshwar Dayal; Meichun Hsu
Intelligent Transportation Systems: Saving Lives, Time and Money Kristin Tufte
Intelligent Transportation Systems: Saving Lives, Time and Money Kristin Tufte Portland State University Oregon Transportation Summit Sept 10, 2010 #12;Intelligent Transportation Systems: Saving Lives, Time and Money Official transportation data archive for the Portland-Vancouver metropolitan region
Intelligence-policy relations and the problem of politicization
A growing literature in international relations theory explores how domestic institutions filter and mediate international signals. The study of intelligence-policy relations fits naturally into this mold, because intelligence ...
Rovner, Joshua Randall
A task management architecture for control of intelligent robots
Designing and building Intelligent robots involves integration of various functionalities such as manipulation, navigation, various recognitions, speech understanding and expression, reasoning, planning, and so on. Furthermore, such functional components ... Keywords: agent architecture, intelligent robot, middleware, system integration
Jaeho Lee; Byulsaim Kwak
Business Intelligence Explorer: A knowledge map framework for discovering business intelligence on the Web
Nowadays, information overload hinders the discovery of business intelligence on the World Wide Web. Existing business intelligence tools suffer from a lack of analysis and visualization capabilities and traditional result list display by search engines often overwhelms business analysts with irrelevant information. Thus, developing tools that enable better analysis while reduce information overload has been a challenge. The literature show that hierarchical and map displays enable effective access and browsing of information. However, they have not been widely applied to discover business intelligence on the Web. This research proposes Business Intelligence Explorer, a tool implementing the steps in a knowledge map framework for discovering business intelligence on the Web. Two browsing methods, namely, Web community and knowledge map, have been implemented. Web community uses a genetic algorithm to organize different Web sites into a hierarchical format. Knowledge map uses a multidimensional scaling algorithm to place different Web sites as points on a map. Preliminary results of our user study show that Web community helps users locate results quickly and effectively. Users liked the intuitive map display of knowledge map. Our Business Intelligence Explorer contributes to alleviate information overload in business analysis. Future directions on applying document visualization techniques in discovering business intelligence are described.
Wingyan Chung; Hsinchun Chen; Jay F. Nunamaker
An architecture for assisted navigation in intelligent environments
The AmbienNet project aims to demonstrate the viability of navigation systems to assist users with or without disabilities supported by intelligent environments. In particular, people with sensorial, physical or cognitive disabilities can be highly benefited ... Keywords: WSNs, ambient intelligence, assistive technology, cognitive disabilities, handheld devices, intelligent navigation, intelligent wheelchairs, location-based services, middleware, navigation assistance, people localisation, physical disabilities, wireless networks, wireless sensor networks
J. Abascal; A. Lafuente; A. Marco; J. M. Falco; R. Casas; J. L. Sevillano; D. Cascado; C. Lujan
100-kVA Intelligent Universal Transformer Development
This status report documents the design and development of EPRI's 100-kVA Intelligent Universal Transformer (IUT).
2011 Annual Planning Summary for Intelligence and Counterintelligence (IN)
Energy.gov (U.S. Department of Energy (DOE))
The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within Intelligence and Counterintelligence (IN).
2004 Performance Metrics for Intelligent Systems (PerMIS'04) ...
... Cooperations with IEEE Computational Intelligence Society. ... Landauer, Aerospace Integration Science Corp., USA S. Lee, Samsung Advanced Inst. ...
Performance Metrics for Intelligent Systems (PerMIS)
... and partnerships, dissemination of ideas, and future collaborations in an ... measures in various domains, eg,; Intelligent transportation systems; ...
2012 Proceedings of the Performance Metrics for Intelligent ...
Page 1. NIST Special Publication 1136 2012 Proceedings of the Performance Metrics for Intelligent Systems (PerMI '12) Workshop ...
LLNL Engineering Systems and Intelligence Analysis Signal and...
Systems and Intelligence Analysis Bayesian Inference Computational Economics Decision Analysis Detector Networks Incident Command Analytic Training System (ICATS): A Simulation...
Intelligent Energy Europe (IEE) | Open Energy Information
Intelligent Energy Europe (IEE) Intelligent Energy Europe (IEE) Jump to: navigation, search Name Intelligent Energy Europe (IEE) Agency/Company /Organization European Commission Sector Energy Focus Area Energy Efficiency, Renewable Energy Topics Finance, Market analysis, Background analysis Website http://ec.europa.eu/energy/int UN Region Northern Europe References IEE[1] Overview "Set up by the EU and managed by the Executive Agency for Competitiveness and Innovation (EACI), the IEE is the EU's means of funding action to improve market conditions so as to encourage the use of renewable energy sources and improve energy efficiency. The IEE funds: project which aim to have a significant impact on the market, including areas such as knowledge transfer between areas of the EU, assisting different organizations in gaining a better understanding of each
Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy
Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Intelligent Center Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Final Project transformers and circuit breakers off-line, in order to assess whether the equipment is operating normally
Mining comparative opinions from customer reviews for Competitive Intelligence
Competitive Intelligence is one of the key factors for enterprise risk management and decision support. However, the functions of Competitive Intelligence are often greatly restricted by the lack of sufficient information sources about the competitors. ... Keywords: Competitive Intelligence, Enterprise risk management, Opinion mining
Kaiquan Xu; Stephen Shaoyi Liao; Jiexun Li; Yuxia Song
Learning patterns in ambient intelligence environments: a survey
It is essential for environments that aim at helping people in their daily life that they have some sort of Ambient Intelligence. Learning the preferences and habits of users then becomes an important step in allowing a system to provide such personalized ... Keywords: Ambient intelligence, Intelligent environments, Machine learning techniques, Pattern learning
Asier Aztiria; Alberto Izaguirre; Juan Carlos Augusto
Aesthetic intelligence: designing smart and beautiful architectural spaces
This paper reports on the first international workshop on Aesthetic Intelligence. The focus of the workshop is on the relevance of beauty and aesthetic values for Ambient Intelligence and the meaning of aesthetically pleasing design for usability, technology ... Keywords: aesthetics, ambient intelligence, architecture, design, smart spaces, ubiquitous computing, urban informatics
Kai Kasugai; Carsten R�cker; Bert Bongers; Daniela Plewe; Christian Dimmer
Ambient intelligence technologies in support of shipping markets' operations
The Intelligent Maritime Environment (i-MARE) framework and technological platform we introduce in our paper conceptualize an innovative, collaborative and context-aware network business model for cargo shipping. The i-MARE framework considers ambient-intelligence ... Keywords: Agent technology, Ambient intelligence, Cargo shipping operations, Enterprise modelling, Web semantics
Maria A. Lambrou; Kay Endre Fj�rtoft; Efstathios D. Sykas; Nikitas Nikitakos
Intelligent Economic Alarm Processor (IEAP)
The advent of electricity market deregulation has placed great emphasis on the availability of information, the analysis of this information, and the subsequent decision-making to optimize system operation in a competitive environment. This creates a need for better ways of correlating the market activity with the physical grid operating states in real time and sharing such information among market participants. Choices of command and control actions may result in different financial consequences for market participants and severely impact their profits. This work provides a solution, the Intelligent Economic Alarm Processor to be implemented in a control center to assist the grid operator in rapidly identifying the faulted sections and market operation management. The task of fault section estimation is difficult when multiple faults, failures of protection devices, and false data are involved. A Fuzzy Reasoning Petri-nets approach has been proposed to tackle the complexities. In this approach, the fuzzy reasoning starting from protection system status data and ending with estimation of faulted power system section is formulated by Petri-nets. The reasoning process is implemented by matrix operations. Next, in order to better feed the FRPN model with more accurate inputs, the failure rates of the protections devices are analyzed. A new approach to assess the circuit breaker�s life cycle or deterioration stages using its control circuit data is introduced. Unlike the traditional �mean time� criteria, the deterioration stages have been mathematically defined by setting up the limits of various performance indices. The model can be automatically updated as the new real-time condition-based data become available to assess the CB�s operation performance using probability distributions. The economic alarm processor module is discussed in the end. This processor firstly analyzes the fault severity based on the information retrieved from the fault section estimation module, and gives the changes in the LMPs, total generation cost, congestion revenue etc. with electricity market schedules and trends. Then some suggested restorative actions are given to optimize the overall system benefit. When market participants receive such information in advance, they make estimation about the system operator's restorative action and their competitors' reaction to it.
Guan, Yufan
Fact Sheet: Protecting Intelligent Distributed Power Grids Against Cyber Attacks
Protecting Intelligent Distributed Protecting Intelligent Distributed Power Grids Against Cyber Attacks Development of a novel distributed and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. But increased interconnection and automation over a large geographical area requires a distributed and hierarchical approach to cyber security. This two-year project will develop three security components unique to intelligent power grids. The first is an automated
Artificial retina: Invention of the year
1513_retina 1513_retina 11/15/2013 The Argus II artificial retina, in which Lawrence Livermore has played a prominent roll, has enough resolution for people to see the lines of a crosswalk, find objects and read letters a couple of centimeters tall. Image by Dan Foley/Second Sight Argus II. Artificial retina: Invention of the year Anne M Stark, LLNL, (925) 422-9799, email@example.com The artificial retina, in which Lawrence Livermore has played a prominent role, has earned a place in the top 25 best inventions of the year 2013 from Time Magazine. The invention also has garnered a 2013 best innovation designation by Popular Science. This Department of Energy funded project resulted in the creation of the first-ever retinal prosthesis -- or bionic eye -- approved in the United
IntellIgence Added downsized diagnostics
IntellIgence Added FA L L 10 InsIde: downsized diagnostics Instant Messenger solar panel windmill plug-in vehicle smart meter smart appliance utility substation transformer a/c How Systems Engineers systems, and nanotechnologies, to name a few, and link these promising research efforts with the resources
Goldberg, Bennett
Intelligence and embodiment: A statistical mechanics approach
Evolutionary neuroscience has been mainly dominated by the principle of phylogenetic conservation, specifically, by the search for similarities in brain organization. This principle states that closely related species tend to be similar because they ... Keywords: Embodiment, Intelligence, Movement primitives, Phylogenetic conservation principle, Statistical mechanics
Alejandro Chinea; Elka Korutcheva
Chronic disease management: a business intelligence perspective
Chronic disease management is one of the main areas in healthcare that Health Knowledge Management (HKM) can provide beneficial outcomes. Information Communication Technology (ICT) enabled Chronic disease management network (cdmNet) delivers comprehensive ... Keywords: business intelligence, chronic disease management, data mining
Leelani Kumari Wickramasinghe, Damminda Alahakoon, Michael Georgeff, Peter Schattner, Daswin De Silva, Oshadi Alahakoon, Akuh Adaji, Kay Jones, Am Leon Piterman
Combustion Turbine Experience and Intelligence Report: 2011
Along with up-to-date information on trends in gas markets in the United States and around the world, the 2011 edition of the Combustion Turbine Experience and Intelligence Report (CTEIR) addresses the impact of shales on natural gas markets and associated risks and includes an overview of boiler windbox repowering using gas turbines.
Intelligent pairing assistant for air operation centers
Within an Air Operations Center (AOC), planners make crucial decisions to create the air plan for any given day. They are expected to complete the plan in part by pairing targeting or collection tasks with the available platforms. Any assistance these ... Keywords: air operations center, intelligent user interface, pairing, reinforcement learning
Jeremy Ludwig; Eric Geiselman
Intelligent agents for QoS management
This paper addresses the structural and behavioral characteristics of multi-agent system (MAS) for Quality of Service (QoS) management using MESSAGE (Methodology for Engineering Systems of Software Agents) modeling language that extends UML (Unified ... Keywords: MESSAGE/UML, QoS management, intelligent agents
Krunoslav Trzec; Darko Huljenic
Is spoken Danish less intelligible than Swedish?
The most straightforward way to explain why Danes understand spoken Swedish relatively better than Swedes understand spoken Danish would be that spoken Danish is intrinsically a more difficult language to understand than spoken Swedish. We discuss circumstantial ... Keywords: Babble noise, Cognates, Danish, Map tasks, Mutual intelligibility, Semantically unpredictable sentences, Swedish
Charlotte Gooskens; Vincent J. van Heuven; Ren�e van Bezooijen; Jos J. A. Pacilly
Towards ontology matching for intelligent gadgets
The FAST gadget development environment allows users to graphically compose intelligent, i.e., semantically annotated gadgets from predefined building blocks and deploy them on various mashup platforms, thus enabling the interconnection of different ... Keywords: end-user, gadgets, mashups, ontology matching, widgets
Oszkar Ambrus; Knud M�ller; Siegfried Handschuh
Combustion Turbine Experience and Intelligence Reports: 2009
Along with up-to-date information on trends in gas markets in the United States and around the world, the 2009 edition of the Combustion Turbine Experience and Intelligence Report (CTEIR) addresses developments in natural gas supply fundamentals, extending plant depreciable life, and CO2 capture for combined cycles.
Intelligent Control of Modular Robotic Welding Cell
Although robotic machines are routinely used for welding, such machines do not normally incorporate intelligent capabilities. We are studying the general problem of formulating usable levels of intelligence into welding machines. From our perspective, an intelligent machine should: incorporate knowledge of the welding process, know if the process is operating correctly, know if the weld it is making is good or bad, have the ability to learn from its experience to perform welds, and be able to optimize its own performance. To this end, we are researching machine architecture, methods of knowledge representation, decision making and conflict resolution algorithms, methods of learning and optimization, human/machine interfaces, and various sensors. This paper presents work on the machine architecture and the human/machine interface specifically for a robotic, gas metal arc welding cell. Although the machine control problem is normally approached from the perspective of having a central body of control in the machine, we present a design using distributed agents. A prime goal of this work is to develop an architecture for an intelligent machine that will support a modular, plug and play standard. A secondary goal of this work is to formulate a human/machine interface that treats the human as an active agent in the modular structure.
Smartt, Herschel Bernard; Kenney, Kevin Louis; Tolle, Charles Robert
Intelligent light control using sensor networks
Increasing user comfort and reducing operation costs have always been two primary objectives of building operations and control strategies. Current building control strategies are unable to incorporate occupant level comfort and meet the operation goals ... Keywords: active sensing, intelligent buildings, light control, sensor networks
Vipul Singhvi; Andreas Krause; Carlos Guestrin; James H. Garrett, Jr.; H. Scott Matthews
Intelligent ambient technology: friend or foe?
This paper presents a part of findings from a study carried out to gain insight on user understanding of smart environments and preferred ways and places for interaction with smart services therein. Here we concentrate on qualitative interview data discussing ... Keywords: acceptance of technology, intelligence, smart environments, ubiquitous computing, user expectations, user studies
Minna Kynsilehto; Thomas Olsson
An Intelligent Chilled Mirror Humidity Instrument
An intelligent, chilled mirror humidity instrument has been designed for use on buoys and ships. Our design goal is for the instrument to make high-quality dewpoint temperature measurements for a period of up to one year from an unattended ...
David S. Hosom; Gennaro H. Crescenti; Clifford L. Winget; Sumner Weisman; Donald P. Doucet; James F. Price
Discussion of Intelligent Cloud Computing System
Cloud Computing System (CCS) aims to power the next generation data centers and enables application service providers to lease data center capabilities for deploying applications depending on user Quality of Service (QoS) requirements. Huge investments ... Keywords: cloud computing system, intelligent cloud computing system, data warehouse, cloud computing management information system
Yu Hua Zhang; Jian Zhang; Wei Hua Zhang
Intelligent emissions controller for substance injection in the post-primary combustion zone of fossil-fired boilers
The control of emissions from fossil-fired boilers wherein an injection of substances above the primary combustion zone employs multi-layer feedforward artificial neural networks for modeling static nonlinear relationships between the distribution of injected substances into the upper region of the furnace and the emissions exiting the furnace. Multivariable nonlinear constrained optimization algorithms use the mathematical expressions from the artificial neural networks to provide the optimal substance distribution that minimizes emission levels for a given total substance injection rate. Based upon the optimal operating conditions from the optimization algorithms, the incremental substance cost per unit of emissions reduction, and the open-market price per unit of emissions reduction, the intelligent emissions controller allows for the determination of whether it is more cost-effective to achieve additional increments in emission reduction through the injection of additional substance or through the purchase of emission credits on the open market. This is of particular interest to fossil-fired electrical power plant operators. The intelligent emission controller is particularly adapted for determining the economical control of such pollutants as oxides of nitrogen (NO.sub.x) and carbon monoxide (CO) emitted by fossil-fired boilers by the selective introduction of multiple inputs of substances (such as natural gas, ammonia, oil, water-oil emulsion, coal-water slurry and/or urea, and combinations of these substances) above the primary combustion zone of fossil-fired boilers.
Reifman, Jaques (Western Springs, IL); Feldman, Earl E. (Willowbrook, IL); Wei, Thomas Y. C. (Downers Grove, IL); Glickert, Roger W. (Pittsburgh, PA)
Comparisons of Short Term Load Forecasting using Artificial Neural Network and Regression Method
In power systems the next day�s power generation must be scheduled every day, day ahead short-term load forecasting (STLF) is a necessary daily task for power dispatch. Its accuracy affects the economic operation and reliability of the system greatly. Under prediction of STLF leads to insufficient reserve capacity preparation and in turn, increases the operating cost by using expensive peaking units. On the other hand, over prediction of STLF leads to the unnecessarily large reserve capacity, which is also related to high operating cost. the research work in this area is still a challenge to the electrical engineering scholars because of its high complexity. How to estimate the future load with the historical data has remained a difficulty up to now, especially for the load forecasting of holidays, days with extreme weather and other anomalous days. With the recent development of new mathematical, data mining and artificial intelligence tools, it is potentially possible to improve the forecasting result. This paper presents a new neural network based approach for short-term load forecasting that uses the most correlated weather data for training, validating and testing the neural network. Correlation analysis of weather data determines the input parameters of the neural networks. And its results compare to regression method. Index terms Load Forecasting, artificial neural network, short term
Mr. Rajesh Deshmukh; Dr. Amita Mahor
Cooperation and community structure in artificial ecosystems
We review results on the evolution of cooperation based on the iterated Prisoner's Dilemma. Coevolution of strategies is discussed both in situations where everyone plays against everyone, and for spatial games. Simple artificial ecologies are constructed ... Keywords: Prisoner's Dilemma, community structure, cooperation, evolution, food webs, lattice games
Kristian Lindgren; Mats G. Nordahl
Artificial fishes: physics, locomotion, perception, behavior
This paper proposes a framework for animation that can achieve the intricacy of motion evident in certain natural ecosystems with minimal input from the animator. The realistic appearance, movement, and behavior of individual animals, as well as the ... Keywords: animate vision, artificial life, autonomous agents, behavioral animation, locomotion control, physics-based modeling
Xiaoyuan Tu; Demetri Terzopoulos
Emotional body language displayed by artificial agents
Complex and natural social interaction between artificial agents (computer-generated or robotic) and humans necessitates the display of rich emotions in order to be believable, socially relevant, and accepted, and to generate the natural emotional responses ... Keywords: Human computer interactions, emotional body language, human robot interactions
Aryel Beck; Brett Stevens; Kim A. Bard; Lola Ca�amero
Artificial Retina Project Wins 2009 R&D 100 Award
R&D 100 logo Breaking News: DOE Artificial Retina Project Takes Top Prize: R&D 100 Editors' Choice Award Nov. 12, 2009 - UPDATE: The U.S. Department of Energy's (DOE) Artificial...
The intelligence oversight inspection of the Special Technologies Laboratory
Executive Order (EO) 12863, {open_quotes}President`s Foreign Intelligence Advisory Board,{close_quotes} dated September 13, 1993, requires Inspectors General of the Intelligence Community to submit reports to the Intelligence Oversight Board, on at least a quarterly basis, on intelligence activities that the Inspectors General have reason to believe may have been unlawful or contrary to Executive order or Presidential directive. Within the Department of Energy (DOE) office of Inspector General, responsibility for oversight of DOE`s intelligence activities, pursuant to EO 12863, has been assigned to the Deputy Inspector General for Inspections. To carry out this responsibility, the Office of Inspections performs reviews to determine if intelligence activities within DOE are in compliance with restrictions set forth in selected intelligence-related laws, Executive orders, and DOE orders, guidelines or implementing procedures. Accordingly, the purpose of this inspection was to determine if intelligence activities conducted by the Special Technologies Laboratory (STL) were in compliance with such restrictions. Our primary objectives were to: (1) evaluate STL intelligence personnel`s knowledge of these restrictions, and (2) review procedures implemented by STL to identify, investigate, and report questionable intelligence activities and/or abuses to higher officials.
Game Analysis of the Evolution of Artificial Stock Market
In this paper, we build the participators� logistic model of the game model in artificial stock market. The participators are three types: flexible agent, semi-flexible agent and rigidity agent. Then, we set up the game model in artificial stock ... Keywords: Artificial stock market, Game model, Agent
She Zhenyu; Yan Bo
Optimization Online - Varying the Population Size of Artificial ...
Abstract: Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their�...
Towards an Intelligent Tutor for Mathematical Proofs
Computer-supported learning is an increasingly important form of study since it allows for independent learning and individualized instruction. In this paper, we discuss a novel approach to developing an intelligent tutoring system for teaching textbook-style mathematical proofs. We characterize the particularities of the domain and discuss common ITS design models. Our approach is motivated by phenomena found in a corpus of tutorial dialogs that were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor for textbook-style mathematical proofs can be built on top of an adapted assertion-level proof assistant by reusing representations and proof search strategies originally developed for automated and interactive theorem proving. The resulting prototype was successfully evaluated on a corpus of tutorial dialogs and yields good results.
Autexier, Serge; Schiller, Marvin; 10.4204/EPTCS.79.1
Opinion analysis for business intelligence applications
More than ever before, business analysts have access to public forums in which opinions and sentiments about companies, products, and policies are expressed in unstructured form. Mining information from public sources is of great importance to many business intelligence applications such as credit rating or company reputation. We have implemented a supervised machine-learning system which uses linguistic information to classify text by rating (good or bad, for example, or 1 to 5 stars). In an evaluation we have obtained good results in comparison with the stateof-the-art in opinion mining. We are further developing the system to classify each text according to a �qualitative variable � category from an ontology specially developed for Business Intelligence (BI). This work will allow us to generate RDF statements to populate a knowledge base for BI.
Adam Funk; Yaoyong Li; Kalina Bontcheva; Christian Leibold; Horacio Saggion
Polyelectrolyte intelligent gels. Design and applications
In this chapter polyelectrolyte intelligent gels are examined along three broad lines. The effects of different physical, chemical and biological stimuli on gels response are analysed and mechanisms of response are outlined. The broad range of biomedical applications of smart gels is reviewed and limits and perspectives of the proposed techniques and devices are crititically discussed. Finally, continuous modelling of gel electromechanochemistry is described, providing quantitative tools to assess swelling equilibrium conditions and coupled kinetics.
Piero Chiarelli; Danilo De Rossi
Intelligent systems for the molecular biologist
This tutorial was one of eight tutorials selected to be presented at the Third International Conference on Intelligent Systems for Molecular Biology which was held in the United Kingdom from July 16 to 19, 1995. In this paper, one objective is to identify properties of DNA sequences that determine their function, by computer-aided statistical analysis and to accurately predict its function, given a new sequence. A related problem is to predict protein structure and function from the sequence.
Brutlag, D.L.
Combustion Turbine Experience and Intelligence Reports: 2006
Generation markets worldwide present both business opportunities and challenges for combustion turbine plant owners, operators, and project developers. EPRI's comprehensive Combustion Turbine/Combined Cycle (CT/CC) program provides a range of tools, methodologies, and approaches to help owner/operators and project developers face these challenges and prosper in this evolving marketplace. The rising cost of fuel gas is the dominant issue in today's market. The EPRI CT Experience and intelligence Reports (...
Combustion Turbine Experience and Intelligence Report: 2010
Generation markets worldwide present both business opportunities and challenges for combustion turbine plant owners, operators, and project developers. EPRI's comprehensive Combustion Turbine/Combined Cycle (CT/CC) program provides a range of tools, methodologies, and approaches to help owner/operators and project developers face these challenges and prosper in this evolving marketplace. The rising cost of fuel gas is the dominant issue in today's market. The EPRI CT Experience and Intelligence Reports (...
Combustion Turbine Experience and Intelligence Report: 2005
National Air & Space Intelligence Center Holds Program About Empowering
National Air & Space Intelligence Center Holds Program About National Air & Space Intelligence Center Holds Program About Empowering Women in the Workplace National Air & Space Intelligence Center Holds Program About Empowering Women in the Workplace September 30, 2013 - 4:52pm Addthis Dot Harris, Director of the Office of Economic Impact and Diversity, speaks with Aurea Rivera, President and CEO of Imagineering Results Analysis Corp., Kathleen Tucker, Director of the Information Exploitation Squadron, Global Exploitation Intelligence Group, NAISC, and Ann Carbonell, Chief of the National Geospatial Intelligence Agency Support Team in September 2013. Photo by National Air and Space Intelligence Center. Dot Harris, Director of the Office of Economic Impact and Diversity, speaks with Aurea Rivera, President and CEO of Imagineering Results Analysis
Intelligent Actuation Control Using Model-Free Adaptive Control Technology
Intelligent Actuation Control Using Intelligent Actuation Control Using Model-Free Adaptive Control Technology Background The Advanced Research Sensors and Controls Program is leading the effort to develop sensing and control technologies and methods to achieve seamlessly integrated and intelligent power systems. The program is led by the U.S. Department of Energy (DOE) Office of Fossil Energy National Energy Technology Laboratory (NETL) and is implemented
USD(I) SUBJECT: DoD Intelligence Activities
1.2. Updates policy and provides direction for DoD intelligence activities. 1.3. Shall be the primary authority used as guidance by the Defense Intelligence Components and those performing an intelligence or counterintelligence (CI) function to collect, process, retain, or disseminate information concerning U.S. persons. 1.4. Continues to authorize the publication of DoD 5240.1-R (Reference (h)). 2. APPLICABILITY AND SCOPE
Intelligent Transportation Systems Deployment Analysis System | Open Energy
Intelligent Transportation Systems Deployment Analysis System Intelligent Transportation Systems Deployment Analysis System Jump to: navigation, search Tool Summary Name: Intelligent Transportation Systems Deployment Analysis System Agency/Company /Organization: Cambridge Systematics Sector: Energy Focus Area: Transportation Resource Type: Software/modeling tools Website: idas.camsys.com/ Country: United States Northern America References: http://idas.camsys.com/ The ITS Deployment Analysis System (IDAS) is software developed by the Federal Highway Administration that can be used in planning for Intelligent Transportation System (ITS) deployments. State, regional, and local planners can use IDAS to estimate the benefits and costs of ITS investments - which are either alternatives to or enhancements of traditional highway
Bio-based Thermochromic Intelligent Roof Coating Research Project |
based Thermochromic Intelligent Roof based Thermochromic Intelligent Roof Coating Research Project Bio-based Thermochromic Intelligent Roof Coating Research Project The Department of Energy is conducting research into bio-based thermochromic intelligent roof coatings. The coatings are developed from waste cooking oil. Project Description This project seeks to develop and demonstrate a waste cooking oil-based thermochromic smart roof coating technology that will adjust light transmission in response to temperature changes. This will reduce energy demands for temperature regulation. The project will also study the effects of different oil sources on coating properties. Project Partners This project is being undertaken between the Department of Energy and United Environment & Energy. Project Goals
Dynamic context capture and distributed video arrays for intelligent spaces
intelligence, body modeling, event analysis, face detection/impor- tant role in event analysis. It derives the currentlevel events. High-level event analysis takes spatial-tem-
Trivedi, Mohan Manubhai; Huang, K S; Mikic, I
Fusion-layer-based machine vision for intelligent transportation systems/
Environment understanding technology is very vital for intelligent vehicles that are expected to automatically respond to fast changing environment and dangerous situations. To obtain perception abilities, we should ...
Fang, Yajun, Ph. D. Massachusetts Institute of Technology
Intelligent Building Energy Information and Control Systems for...
Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response Title Intelligent Building Energy Information and Control Systems for...
Report on "The Office of Defense Programs Robotics and Intelligent...
Robotics and Intelligent Machines (RIM) are systems composed of machines, sensors, computers, and software capable of executing various tasks with minimal human intervention....
Strategic Business Intelligence at Toyota Material Handling Europe.
?? Business Intelligence (BI) is as an academic subject a rather unexplored research field and within the business context, BI leads an ambivalent existence. BI� (more)
Olsson, Jon-Erik
Report on {open_quotes}inspection of human subject research in intelligence and intelligence-related projects{close_quotes}
Executive Order 12333, {open_quotes}United States Intelligence Activities,{close_quotes} (1) designates the Department`s intelligence element as a member of the Intelligence Community, and (2) states that no agency within the Intelligence community shall sponsor, contract for or conduct research on human subjects except in accordance with guidelines issued by the Department of Health and Human Services. The Federal policy for the Protection of Human Subjects, which was based on Department of Health and Human Services regulations, was promulgated in Title 10 Code of Federal Regulations Part 745 by the Department of Energy. The purpose of this inspection was to review the internal control procedures used by the Office of Nonproliferation and National Security to manage selected intelligence and intelligence-related projects that involve human subject research.
Artificial fishes: Physics, locomotion, perception, behavior
physics-based modeling Abstract: This paper proposesa framework for animation that can achieve the intricacy of motion evident in certain natural ecosystems with minimal input from the animator. The realistic appearance, movement, and behavior of individual animals, as well as the patterns of behavior evident in groups of animals fall within the scope of the framework. Our approach to emulating this level of natural complexity is to model each animal holistically as an autonomous agent situated in its physical world. To demonstrate the approach, we develop a physics-based, virtual marine world. The world is inhabited by artificial fishes that can swim hydrodynamically in simulated water through the motor control of internal muscles that motivate fins. Their repertoire of behaviors relies on their perception of the dynamic environment. As in nature, the detailed motions of artificial fishes in their virtual habitat are not entirely predictable because they are not scripted. 1
Artificial neural network cardiopulmonary modeling and diagnosis
The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis.
Kangas, Lars J. (Richland, WA); Keller, Paul E. (Richland, WA)
The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis. 12 figs.
Kangas, L.J.; Keller, P.E.
Intelligent Commercial Lighting: Demand-Responsive Conditioning and Increased User Satisfaction
Constraints on Occupant Lighting choices and Satisfaction: A007 "Intelligent Commercial Lighting: Demand-Responsivedirectly. Intelligent Commercial Lighting: Demand-Responsive
Agogino, Alice M.
System design and dynamic signature identification for intelligent energy management in residential buildings.
of commercial energy management systems, IEEE Transactionsfor intelligent energy management systems of resi- dentialin an intelligent energy management system, three approaches
Jang, Jaehwi
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
Sales prediction is an essential part of stock planning for the wholesales and retail business. It is a complex task because of the large number of factors affecting the demand. Designing an intelligent predictor that would beat a simple moving average ... Keywords: Meta features, Sales prediction, Time series categorization
Indr? �liobait?; Jorn Bakker; Mykola Pechenizkiy
R.: Adding Semantics to Business Intelligence
Despite the importance of analytical tools to organisations, they still lack the inference power needed to solve the requests of decision makers in a flexible way. Our approach aims at integrating business semantics into analytical tools by providing semantic descriptions of exploratory functionalities and available services. We propose an architecture for business intelligence, which uses semantic web technology based on IRSIII. In addition, we present OntoDSS, a prototype tool based on this architecture that illustrates some of the functionalities that may be provided to decision makers within an application scenario. 1
Denilson Sell; Liliana Cabral; Enrico Motta; John Domingue; Roberto Pacheco
Swarm Intelligence for Urban Dynamics Modelling
In this paper, we propose swarm intelligence algorithms to deal with dynamical and spatial organization emergence. The goal is to model and simulate the developement of spatial centers using multi-criteria. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. We propose an extension of the ant nest building algorithm with multi-center and adaptive process. Typically, this model is suitable to analyse and simulate urban dynamics like gentrification or the dynamics of the cultural equipment in urban area.
Ghnemat, Rawan; Bertelle, Cyrille [LITIS-University of Le Havre 25 rue Philippe Lebon-BP 540 76058 Le Havre cedex (France); Duchamp, Gerard H. E. [LIPN-University of Paris XIII 99 avenue Jean-Baptiste Clement 93430 Villetaneuse (France)
Open Business Intelligence for Better Decision-Making
Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships ... Keywords: Business Intelligence, Decision-Making, Online Analytical Processing, Open Business Intelligence Systems, Open Source
Jorge Bernardino
Center for Intelligent Systems Research GW Transportation Research Institute
Driving Simulator Laboratory Center for Intelligent Systems Research GW Transportation Research be employed in a number of other studies, such as: · Measuring the distraction potential of future in-vehicle intelligent transportation systems, · Determining the impact of road design on driver behavior
Vertes, Akos
Intelligent Circuit Breaker Forecasting and Prewarning System Research
This paper describes an intelligent circuit breaker software and hardware design, real-time multi-task alarm system will be introduced into circuit breaker monitoring and control, to the timely opening and timely alarm. According to the different impact ... Keywords: Intelligent circuit breaker, forecasting, prewarning
Jiaomin Liu; Li Li; Yaxuan Li; Peng Liu
A paradigm for handwriting-based intelligent tutors
This paper presents the interaction design of, and demonstration of technical feasibility for, intelligent tutoring systems that can accept handwriting input from students. Handwriting and pen input offer several affordances for students that traditional ... Keywords: Cognitive tutors, Educational technology, Handwriting recognition, Human-computer interaction, Intelligent tutoring systems, Interaction design, Mathematics, Pen input
Lisa Anthony; Jie Yang; Kenneth R. Koedinger
Ontology-based Information Extraction for Business Intelligence
as a business analyst/data analyst/business intelligence analyst within a corporation or a consulting firm Business Intelligence (3) Plus two elective courses from the following areas or approved by the College, statistics and information technology. The business analytics curriculum at Bowling Green State University
Bontcheva, Kalina
Natural language technology for information integration in business intelligence
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial risk, operational risk factors, follow trends and perform credit risk management. ... Keywords: business intelligence, information extraction, information fusion, natural language processing, ontology
Diana Maynard; Horacio Saggion; Milena Yankova; Kalina Bontcheva; Wim Peters
Ontology-based information extraction for business intelligence
Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available ... Keywords: business intelligence, cross-source entity coreference, ontology-based information extraction
Horacio Saggion; Adam Funk; Diana Maynard; Kalina Bontcheva
A condition-based maintenance policy for intelligent monitored system
This study proposes a sequential Condition-Based Maintenance (CBM) policy for intelligent monitored system based on cost and reliability prioritisation. It is assumed that system's reliability could be continuously monitored, whenever ... Keywords: CBM, condition-based maintenance, cost, intelligent monitoring, maintenance policy, optimisation, predictive maintenance, reliability, simulation
Wenzhu Liao; Ershun Pan; Lifeng Xi
Consistency among speech parameter vectors: Application to predicting speech intelligibility
Previous researchers interested in physical assessment of speech intelligibility have largely based their predictions on preservation of spectral shape. A new approach is presented in which intelligibility is predicted to be preserved only if a transformation modifies relevant speech parameters in a consistent manner. In particular
Matthew H. Power; Louis D. Braida
Temporal abstraction in intelligent clinical data analysis: A survey
Objective: Intelligent clinical data analysis systems require precise qualitative descriptions of data to enable effective and context sensitive interpretation to take place. Temporal abstraction (TA) provides the means to achieve such descriptions, ... Keywords: Decision support systems, Intelligent data analysis, Intensive care, Patient monitoring, Temporal abstraction, Temporal reasoning
Michael Stacey; Carolyn McGregor
A Reusable Multi-Agent Architecture for Active Intelligent Websites
In this paper a reusable multi-agent architecture for intelligent Websites is presented and illustrated for an electronic department store. The architecture has been designed and implemented using the compositional design method for multi-agent systems ... Keywords: information agent, intelligent website
Catholijn M. Jonker; Remco A. Lam; Jan Treur
Support for context-aware intelligibility and control
Intelligibility and control are important user concerns in context-aware applications. They allow a user to understand why an application is behaving a certain way, and to change its behavior. Because of their importance to end users, they must be addressed ... Keywords: context-aware computing, control, design support, intelligibility, toolkits
Anind K. Dey; Alan Newberger
Engineering Applications of Artificial Intelligence 19 (2006) 769786 Color reduction and estimation of the number of dominant colors
-known Growing Neural Gas (GNG) and the Kohonen Self-Organized Feature Map (KSOFM) neural networks. We call distributed in a two-dimensional grid. In gray-scale images, the gray-scale value of each pixel is described (CR) process. Thus, CR is an important task for presentation, transmission, segmenta- tion, analysis
Papamarkos, Nikos
State of the Art of Artificial Intelligence and Predictive Analytics in the E&P Industry: A Technology Survey
) production management, (5) process control, (6) filtering/cleaning data, and (7) virtual metering and event/Cleansing Data VirtualMetering& Events recognition FaultDetection SurfaceFacility Modeling& Simulation related to several E&P operations and service companies is presented. This survey captures the level of AI
An integrated approach to optimise parameter design of multi-response processes based on Taguchi method and artificial intelligence
The Taguchi robust parameter design has been widely used over the past decade to solve many single-response process parameter designs. However, the Taguchi method is unable to deal with multi-response problems that are of main interest today, owing to ... Keywords: Back-propagation neural network, Experimental design, Expert system, Genetic algorithm, Multi-response process, Taguchi method
Tatjana V. Sibalija; Vidosav D. Majstorovic
Human Performance Optimization: Emerging Management Issues and Artificial Intelligence Methods: Volume 1: Financial Valuation of Hum an Capital
Human Performance Optimization: Emerging Management Issues and Artificial Intelligence Methods: Volume 3: Finding and Building Exper tise
Human Performance Optimization: Emerging Management Issues and Artificial Intelligence Methods: Volume 2: Forecasting Human Behavior in a Constrained Environment
Engineering Applications of Artificial Intelligence 18 (2005) 279296 A genetic rule weighting and selection process for fuzzy control of
. Keywords: HVAC systems; Fuzzy logic controllers; Weighted fuzzy rules; Rule selection; Genetic algorithms 1 conditioned buildings are highly dependent on the design, perfor- mance and control of their HVAC systems System modeling (Angelov, 2002). In this way, the use of appropriate automatic control strategies
Granada, Universidad de
Exercise protocols during short-radius centrifugation for artificial gravity
Long-duration spaceflight results in severe physiological deconditioning, threatening the success of interplanetary travel. Exercise combined with artificial gravity provided by centrifugation may be the comprehensive ...
Agent Action: Business Cases with Individualised Information Services in a Business Intelligence Context
Information services for Business Intelligence are becoming more integrated in day-to-day operations. This paper describes how the use of intelligent agent-enabled decision support in conjunction with the organisational trends of more dispersed and decentralised ... Keywords: Agent-enabled decision support, Business Intelligence, Competitive Intelligence, Knowledge Management, Community-of-Practice, Personalisation
Fredric Landqvist; Kalevi Pessi
On-demand multidimensional data integration: toward a semantic foundation for cloud intelligence
Cloud intelligence is a collection of technologies emerging from the migration of business intelligence and analytics technologies to a cloud computing environment combined with exploiting the massive range of new intelligence opportunities opened up ... Keywords: Cloud intelligence, Data integration, Federated databases, Multidimensional databases, OLAP
Torben Bach Pedersen; Dennis Pedersen; Karsten Riis
BIDM: The Business Intelligence Development Model Catalina Sacu -firstname.lastname@example.com
-time Business Intelligence requirements and discuss the state of the aert Real-time Business Intelligence, traditional Business Intelligence (BI) and Data Warehousing technologies do not directly address time, and effectively closing the gap between Business Intelligence systems and business processes. A scenario from
Utrecht, Universiteit
OR Forum---Intelligence Operations Research: The 2010 Philip McCord Morse Lecture
This paper is the archival record of the INFORMS Philip McCord Morse Lecture delivered in 2010. It considers applications of operations research to intelligence problems in national security and counterterrorism. The phrase �intelligence operations ... Keywords: counterterrorism, intelligence, intelligence operations, national security
Edward H. Kaplan
Intelligent Software Agents: Sensor Integration and Response
Abstract In a post Macondo world the buzzwords are Integrity Management and Incident Response Management. The twin processes are not new but the opportunity to link the two is novel. Intelligent software agents can be used with sensor networks in distributed and centralized computing systems to enhance real-time monitoring of system integrity as well as manage the follow-on incident response to changing, and potentially hazardous, environmental conditions. The software components are embedded at the sensor network nodes in surveillance systems used for monitoring unusual events. When an event occurs, the software agents establish a new concept of operation at the sensing node, post the event status to a blackboard for software agents at other nodes to see , and then react quickly and efficiently to monitor the scale of the event. The technology addresses a current challenge in sensor networks that prevents a rapid and efficient response when a sensor measurement indicates that an event has occurred. By using intelligent software agents - which can be stationary or mobile, interact socially, and adapt to changing situations - the technology offers features that are particularly important when systems need to adapt to active circumstances. For example, when a release is detected, the local software agent collaborates with other agents at the node to exercise the appropriate operation, such as: targeted detection, increased detection frequency, decreased detection frequency for other non-alarming sensors, and determination of environmental conditions so that adjacent nodes can be informed that an event is occurring and when it will arrive. The software agents at the nodes can also post the data in a targeted manner, so that agents at other nodes and the command center can exercise appropriate operations to recalibrate the overall sensor network and associated intelligence systems. The paper describes the concepts and provides examples of real-world implementations including the Threat Detection and Analysis System (TDAS) at the International Port of Memphis and the Biological Warning and Incident Characterization System (BWIC) Environmental Monitoring (EM) Component. Technologies developed for these 24/7 operational systems have applications for improved real-time system integrity awareness as well as provide incident response (as needed) for production and field applications.
Kulesz, James J [ORNL; Lee, Ronald W [ORNL
Natural language human-machine interface using artificial neural networks
In this paper there is a natural language interface presented, which consists of the intelligent mechanisms of human identification, speech recognition, word and command recognition, command syntax and result analysis, command safety assessment, technological ...
Maciej Majewski; Wojciech Kacalak
Modeling of tomato drying using artificial neural network
This study involves experimental works on drying of tomatoes in a tray dryer covering different variables like power of heater and air flow velocity. The data are modeled using artificial neural network and empirical mathematical equations. The results ... Keywords: Artificial neural network, Curve fitting, Drying, Mathematical model
Kamyar Movagharnejad; Maryam Nikzad
Prediction of Breast Cancer Using Artificial Neural Networks
In this study, an artificial neural network (ANN) was developed to determine whether patients have breast cancer or not. Whether patients have cancer or not and if they have its type can be determined by using ANN and BI-RADS evaluation and based on ... Keywords: Artificial neural network, BI-RADS, Breast cancer, Breast cancer prediction
Ismail Saritas
Predicting water saturation using artificial neural networks (ANNS)
The application of artificial neural networks (ANNs) in the petroleum industry is widely increasing after major developments in ANN design. In this study, ANNs were used to develop a model for predicting water saturation in shaly formations using wireline ... Keywords: artificial neural networks, petroleum industry, shaly sandstone formation, water saturation
Nabil Al-Bulushi; Mariela Araujo; Martin Kraaijveld
Accelerating improvement of fuzzy rules induction with artificial immune systems
The paper introduces an algorithmic improvement to IFRAIS, an existing Artificial Immune System method for fuzzy rule mining. The improvement presented consists of using rule buffering during the computation of fitness of rules. This is achieved using ... Keywords: artificial immune system, data mining, fuzzy rules induction
Edward Mezyk; Olgierd Unold
Review: a comprehensive overview of the applications of artificial life
We review the applications of artificial life ALife, the creation of synthetic life on computers to study, simulate, and understand living systems. The definition and features of ALife are shown by application studies. ALife application fields treated ... Keywords: Artificial life, evolution, hardware, perspective, simulation, software
Kyung-Joong Kim; Sung-Bae Cho
Artificial neural networks for electricity consumption forecasting considering climatic factors
This work develops Artificial Neural Networks (ANN) models applied to predict the consumption forecasting considering climatic factors. It is intended to verify the influence of climatic factors on the electricity consumption forecasting through the ... Keywords: artificial neural networks, electricity consumption forecasting
Francisco David Moya Chaves
Modelling of Turkey's net energy consumption using artificial neural network
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using artificial neural network (ANN) technique in order to determine the future level of the energy consumption in Turkey. Two different models ... Keywords: Turkey, artificial neural networks, energy forecasting, energy sources, estimation, gross generation, net energy consumption
Adnan Sozen; Erol Arcaklioglu; Mehmet Ozkaymak
Application on lithology recognition with BP artificial neural network
An Artificial Neural Network (ANN) model is established to recognize the drilled formations' lithologies while drilling. The styles of output and input of ANN are designed. The nerve cells in input layer are weight of bit (WOB), speed of rotary (SOR) ... Keywords: artificial neural network, drilling, formation lithology, recognition
Jinhui Zhou; Jienian Yan; Li Pan
Artificial Heart Pump (Additional Endogenous Heat) Program
Three plutonium-238 radioisotope-powered heat sources were developed and fabricated at Mound Laboratory for use by Thermo Electron Engineering Corporation (TEECO) in the Artificial Heart Pump (Additional Endogenous Heat) Program. These sources contained doubly encapsulated plutonum-238 metal; two had a thermal power of 15(+2-0) W and one had 25(+0-2) W. Details of the design, fabrication, and testing of the heat sources are given in this report. Two of the heat sources (one 15-W and one 25-W) were shipped to TEECO for use with special heat exchangers in implantation experiments on dogs at Boston City Hospital. These tests have been under way since July, 1967. The third heat source (15-W) was fabricated for in-house testing at Mound Laboratory.
Davis, N. E.; Davenport, C. H.; Kelly, D. P.
MHK Technologies/Electroactive Polymer Artificial Muscle EPAM | Open Energy
Electroactive Polymer Artificial Muscle EPAM Electroactive Polymer Artificial Muscle EPAM < MHK Technologies Jump to: navigation, search << Return to the MHK database homepage Electroactive Polymer Artificial Muscle EPAM.jpg Technology Profile Primary Organization SRI International Technology Resource Click here Wave Technology Type Click here Point Absorber - Floating Technology Description This wave powered generator is unique in that it uses SRI s Electroactive Polymer Artificial Muscle EPAM technology a rubbery material that can generate electricity by simply being stretched and allowed to return to its original shape This artificial muscle technology can generate electricity directly from the motion of waves without the need for complicated and costly hydraulic transmissions that are typically found in other wave power generators
In Proceedings of the Conference "Ontology for the Intelligence Community: Towards Effective Exploitation and Integration of Intelligence Resources," George Mason University, Fairfax, Virginia Campus, 3 -4 December 2008.
This Is Espionage Today................................................................ 14 Foreign Intelligence we have. Insiders--Clandestine intelligence gathering is a reality. Also, some workers are willing know that New Mexico is a hot spot for spies? Counterintelligence expert Bruce Held says: "For many
Tecuci, Gheorghe
Full waveform inversion of a 3-D source inside an artificial rock
of a 3-D Source Inside an Artificial Rock Albert C. To andof a 3-D source inside an artificial rock plate inof a 3-D source inside an artificial rock plate is
To, A C; Glaser, Steven D
Agent-based intelligent information dissemination in dynamically changing environments
This chapter presents an agent-based approach to intelligent information dissemination in dynamic environments. We will describe a prototype agent-based system, called the Anticipator, which enables an information dissemination system to adapt to changing ...
H. Sevay; C. Tsatsoulis
Integrating automobile multiple intelligent warning systems : performance and policy implications
Intelligent driver warning systems can be found in many high-end vehicles on the road today, which will likely rapidly increase as they become standard equipment. However, introducing multiple warning systems into vehicles ...
Ho, Angela Wei Ling
Interaction issues in context-aware intelligent environments
Context-aware intelligent environments are computing systems embedded within physical spaces. They are equipped with input and output computing devices for users and sensors to provide contextual information to the system. These environments provide ...
Steven A. N. Shafer; Barry Brumitt; J. J. Cadiz
Intelligent Control of Heating, Ventilating and Air Conditioning Systems
This paper proposed a simulation-optimization energy saving strategy for heating, ventilating and air conditioning (HVAC) systems' condenser water loop through intelligent control of single speed cooling towers' components. An analysis of system components ...
Patrick Low Kie; Lau Bee Theng
The NOX framework: native language queries for business intelligence applications
Over the past ten to fifteen years, Business Intelligence applications have become increasingly important and visible components of enterprize computing environments. While relational database management systems often form the backbone of the BI software ...
Todd Eavis; Hiba Tabbara; Ahmad Taleb
Reporting Questionable Intelligence Activities and Significant or Highly
(Reference (a)) concerning the criteria and requirements for reporting intelligence oversight matters and directs compliance with the guidance contained in Attachment 2. It establishes the procedures to ensure complete and standardized reporting by the DoD Intelligence Components and other entities involved in intelligence activities, which include both foreign intelligence and counterintelligence activities. This DTM is effective immediately; it shall be incorporated into DoD 5240.1-R (Reference (b)) within 180 days. This DTM shall expire effective 1 September 2011. Nothing in this DTM is intended to alter reporting requirements established by statute or departmental policy. DTM 08-052, June 17, 2009 Applicability. This DTM applies to OSD, the Military Departments, the Office of
Deputy Chief; Management Officer
Decision-making models for reproducing intelligence in transportation...
Decision-making models for reproducing intelligence in transportation January 01, 2013 It could be the start of a good riddle: How many syn-apses of the brain does it take to...
The Search for Extraterrestrial Intelligence: Fact, not Fiction
Jill Tarter, director of the Center for SETI (Search for Extraterrestrial Intelligence) Research, will discuss the new Allen Telescope Array being developed for SETI that will provide the first systematic look at the transient radio universe.
Tarter, Jill (SETI Institute, Director)
TV as a human interface for Ambient Intelligence environments
One of the challenges that Ambient Intelligent (AmI) faces is the provision of a usable interaction concept to its users, especially for those with less technical background. In this paper, we describe a new approach to integrate interactive services ... Keywords: information service, human interface, ambient intelligence environments, usable interaction concept, interactive services, television set, home environment, natural human computer interface, elderly people, graphical user interfaces, TV remote control, voice interaction, videoconference
Gorka Epelde; Xabier Valencia; Julio Abascal; Unai Diaz; Ingo Zinnikus; Christian Husodo-Schulz
2020 Workplace and the Evolution of Business Intelligence
The work place is rapidly changing and will continue to change as the decade proceeds to 2020. Business Intelligence (BI) has many of the tools that will ensure that employees in this future work place can be successful and deal with these environmental changes. Ideas such as �swarming�, �hyper-connectedness�, �de-routinization of work� and �the collective� will morph employee engagement and those organizations with mature Business Intelligence practices will be prepared to support the success of their employees.
Hollis Henry; Troy Hiltbrand
Strategic Intelligence Update: Superconductivity for Power Delivery Applications, April 2013
EPRI�s Strategic Intelligence Update: Superconductivity for Power Delivery Applications newsletter is part of its commitment to keep its members informed on the latest industry news and intelligence. Superconductivity is a rapidly evolving field, and this newsletter�along with EPRI�s annual Technology Watch reports�will closely follow developments in key technologies, R&D programs, demonstrations, deployments, and other superconductivity activities. The ...
Intelligent Light Control using Sensor Networks
Increasing user comfort and reducing operation costs have always been two primary objectives of building operations and control strategies. Current building control strategies are unable to incorporate occupant level comfort and meet the operation goals simultaneously. In this paper, we present a novel utility-based building control strategy that optimizes the tradeo# between meeting user comfort and reduction in operation cost by reducing energy usage. We present an implementation of the proposed approach as an intelligent lighting control strategy that significantly reduces energy cost. Our approach is based on a principled, decision theoretic formulation of the control task. We demonstrate the use of mobile wireless sensor networks to optimize the tradeo # between fulfilling di#erent occupants' light preferences and minimizing energy consumption. We further extend our approach to optimally exploit external light sources for additional energy savings, a process called daylight harvesting. Also we demonstrate that an active sensing approach can maximize the mobile sensor network's lifetime by sensing only during most informative situations. We provide e#cient algorithms for solving the underlying complex optimization problems, and extensively evaluate our proposed approach in a proof-of-concept testbed using MICA2 motes and dimmable lamps. Our results indicate a significant improvement in user utility and reduced energy expenditure.
Vipul Singhvi Civil; Vipul Singhvi; Civil Engineering Dept; James H. Garrett
Toward self-optimization of machine intelligence
For a long time there has been interest in putting a computer program that solves problems to work on the problem of optimizing its own abilities, though little has been done to formally realize this ambition. This work offers a mathematical theory of computerized problem solving. Under the theory a problem solver, represented as a computer program, is able to rigorously consider the problem of optimizing its own ability to solve problems, or in some sense, its intelligence. The notions of problem and of what it means to solve it had to be broadened considerably beyond their usual meanings. In the resulting theory of limiting optimization a binary preference relation or ordering is assigned to a class of objects. The problem then becomes one of constructing an optimizing sequnce of objects that tend to an optimal conditions that, under the preference relation, only a finite number of terms of the sequence can be equivalent or inferior to any given, suboptimal object. The theory is able to handle the more conventional versions of problem solving such as theorem proving as well as esoteric forms of optimization in the limit. It is possible to define an IQ test for a problem solver or organism that solves limiting optimization problems.
Perry, R.M.
Magnetic charge crystals imaged in artificial spin ice
Magnetic charge crystals imaged in artificial spin ice Magnetic charge crystals imaged in artificial spin ice Magnetic charge crystals imaged in artificial spin ice Potential data storage and computational advances could follow August 27, 2013 Potential data storage and computational advances could follow A 3-D depiction of the honeycomb artificial spin ice topography after the annealing and cooling protocols. The light and dark colors represent the north and south magnetic poles of the islands. Image by Ian Gilbert, U. of I. Department of Physics and Frederick Seitz Materials Research Laboratory Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email Siv Schwink U. Illinois (217) 300-2201 Email "The emergence of magnetic monopoles in spin ice systems is a particular case of what physicists call fractionalization, or deconfinement of
A Comprehensive Overview of the Applications of Artificial Life
We review the applications of artificial life (ALife), the creation of synthetic life on computers to study, simulate, and understand living systems. The definition and features of ALife are shown by application studies. ALife application fields treated ...
Perceive this as that � Analogies, artificial perception, and category theory
This paper formalizes and analyzes cognitive transitions between artificial perceptions that consist of an analogical or metaphorical transference of perception. The formalization is performed within a mathematical framework that has been ...
Zippora Arzi-Gonczarowski
Boundary Conditions for Artificial Snow Production in the Austrian Alps
To assess how meteorological conditions favorable for the production of artificial snow vary in time and space, wet-bulb temperatures are calculated using temperature and humidity data of 14 Austrian stations between October and April for 1948�...
Marc Olefs; Andrea Fischer; Josef Lang
Artificial teeth : dental biofilm analysis on a chip
In this thesis, an "artificial teeth" microfluidic device is developed that provides unprecedented control over the conditions required to simulate the growth of complex dental biofilm. Dental plaque formation is not only ...
Lam, Raymond Hiu-wai
Artificial Bubble Cloud Targets for Underwater Acoustic Remote Sensing
This article describes a technique that uses polymer additives to suspend air bubbles to form stable artificial bubble clouds. The results presented include the range of polymer concentrations for an effective bubble suspension; the void fraction,...
Paul A. Hwang; Ronald A. Roy; Lawrence A. Crum
Application of artificial neural networks to predicate shale content
This paper describes an Artificial Neural Network approach to the predication problem of shale content in the reservoir. An interval of seismic data representing the zone of interest is extracted from a three-dimensional data volume. Seismic data and ...
Kesheng Wang; Resko Barna; Yi Wang; Maxim Boldin; Ove R. Hjelmervik
A Machine Learning Evaluation of an Artificial Immune System
ARTIS is an artificial immune system framework which contains several adaptive mechanisms. LISYS is a version of ARTIS specialized for the problem of network intrusion detection. The adaptive mechanisms of LISYS are characterized in terms of their machine-learning ...
Matthew Glickman; Justin Balthrop; Stephanie Forrest
How Gamification will change Business Intelligence
In 1958, William Higginbotham was part of the Brookhaven National Laboratory (BNL) Instrumentation Division. In those days, BNL hosted a visitors day each fall. This was an opportunity for thousands of visitors to come and tour the lab and get a better understanding of the capabilities and operations at a nuclear research facility. William Higinbotham wanted to do something that would impress the audience as well as demonstrate the capabilities of the instrumentation division. Higinbotham came up with an idea that would allow the audience to play a simulated game of table tennis. By utilizing an analog computer and an oscilloscope, Higinbotham created the first publically available video game. The game was very simple and simulated the vertical side of a tennis court, the edge of the floor with the edge of the net perpendicular, on a screen. Each player had a button and a rotating knob. Rotating the knob would change the angle of the bar controlling the ball; pressing the button sent the ball toward the opposite side of the court. If the ball hit the net, it rebounded at an unexpected angle. If the ball went over and was not hit back, it would hit the floor and bounce again at a natural angle. If it disappeared off the screen, a reset button could be pressed, causing the ball to reappear and remain stationary until the user pressed the button to send the ball flying back across the net. Higginbotham recounted that "it was a simple design. Back then, analog computers were used to work out all kinds of mechanical problems. They didn't have the accuracy of digital computers, which were very crude at the time, but then you don't need a great deal of precision to play TV games. " The game was wildly successful and Higinbotham could tell from the crowd�s reaction that he had developed something very special. From the days of Higinbotham�s rudimentary version of the classic game Pong, video games have matured and become much more complex. Not only has the technology advanced, allowing for better graphics, sound and game play, but also significant research has been done in the area of game mechanics. �Game mechanics are rule based systems that facilitate and encourage a user to explore and learn the properties of their possibility space through the use of feedback mechanisms.� (Koster, 2004) As these game mechanics become better understood, they are being applied to areas outside of the realm of video game development. Game mechanics have become the basis for understanding the psychological drivers of users in the digital world. Business Intelligence, part of this digital experience, can learn some great lessons in how to engage users and revolutionize the user experience through the application of these game mechanics. In the tradition of BNL�s innovative spirit and as a sister laboratory in the Department of Energy laboratory complex, Idaho National Laboratory (INL) looks to determine how we can enhance the user experience through the effective application of game mechanics to Business Intelligence to meet the needs of our business.
Hiltbrand, Troy; Burke, Marsha
Artificial neural network simulation of battery performance
Although they appear deceptively simple, batteries embody a complex set of interacting physical and chemical processes. While the discrete engineering characteristics of a battery such as the physical dimensions of the individual components, are relatively straightforward to define explicitly, their myriad chemical and physical processes, including interactions, are much more difficult to accurately represent. Within this category are the diffusive and solubility characteristics of individual species, reaction kinetics and mechanisms of primary chemical species as well as intermediates, and growth and morphology characteristics of reaction products as influenced by environmental and operational use profiles. For this reason, development of analytical models that can consistently predict the performance of a battery has only been partially successful, even though significant resources have been applied to this problem. As an alternative approach, the authors have begun development of a non-phenomenological model for battery systems based on artificial neural networks. Both recurrent and non-recurrent forms of these networks have been successfully used to develop accurate representations of battery behavior. The connectionist normalized linear spline (CMLS) network has been implemented with a self-organizing layer to model a battery system with the generalized radial basis function net. Concurrently, efforts are under way to use the feedforward back propagation network to map the {open_quotes}state{close_quotes} of a battery system. Because of the complexity of battery systems, accurate representation of the input and output parameters has proven to be very important. This paper describes these initial feasibility studies as well as the current models and makes comparisons between predicted and actual performance.
O`Gorman, C.C.; Ingersoll, D.; Jungst, R.G.; Paez, T.L.
Cultural intelligence support for military operations
It has long been recognized that military success relies on knowledge of the enemy. In the context of standard warfare, adequate knowledge of the enemy may be gained by analyzing observable, measurable data. In the context of modern counterinsurgency operations and the global war on terror, the task of predicting the behavior of the enemy is vastly more complex and difficult. Without an understanding of the ways individuals in the host nation interpret and react to events, no amount of objective information can provide the insight required to accurately predict behavior. US military doctrine has begun to recognize the importance of the many ways that local culture can affect operation success. Increasingly military decision makers use cultural information in the service of operation planning, and troops are provided with pre-deployment cultural training. However, no amount of training can cover the breadth and depth of potentially useful cultural information, and no amount of careful planning can avoid the need to adapt as situations develop. Therefore, a critical challenge is to provide useful tools to US personnel in their efforts to collect, analyze, and utilize cultural information. Essential functions for cultural support tools include the following: (1) to narrow down a broad range of available data and focus the user's attention on context-relevant information, (2) to present cultural information in an easily understood form, (3) to prompt the user to seek relevant information in the environment, (4) to synthesize information, and (5) to predict outcomes based on possible courses of operation. In this paper, we begin by reviewing the ways in which military operations can benefit from cultural intelligence. We then discuss frameworks for analyzing cultural information in the context of a military operation. We conclude with a demonstration of our current efforts to develop a tool that meets the aforementioned functional challenges.
Guthormsen, Nay M [Los Alamos National Laboratory; Mac Kerrow, Edward P [Los Alamos National Laboratory; Merritt, Terence [Los Alamos National Laboratory; Morgart, Ruth E [INTERNATIONAL ATOMIC ENERGY
The effect of alteration in service environments with distributed intelligent agents
The paper presents some properties of the communication network supported by the intelligent agents. The intelligent agents were placed into network nodes and they were immobile. They were used to regulate the transfer of mobile agents from the network ...
Dragan Jevtic; Marijan Kunstic; Denis Ouzecki
(SE-33)Intelligent ID-Based threshold system by an encryption and decryption from bilinear pairing
We suggest a new intelligent ID-based threshold secure system by an encryption and decryption protocol using (k, n)-threshold scheme which only k agents or more are engaged to reconstruct an encrypted data for a mobile intelligent ...
Young Whan Lee; Byung Mun Choi
A Generic Framework for Web-Based Intelligent Decision Support Systems
Web-based Intelligent Systems Environment (WISE) offers generic, modular, flexible and scalable system solutions for information retrieval, extraction, fusion, knowledge discovery and intelligent decision support, using heterogeneous, distributed data ...
Vladimir Simeunovic; Jelena Jovanovic; Milan Saric; Sanja Vranes
Connecting the Dots. Intelligence and Law Enforcement since 9/11
counterintelligence and �any other sort of intelligencecounterintelligence and secrecy in general, and the appropriate relationship of intelligenceIntelligence," in Vaults, Mirrors, and Masks : Rediscovering U.S. Counterintelligence,
Stalcup, Mary Margaret
Application of intelligent technologies to safety and medical services in Japan: a patient-centric issue?
This paper outlines selected wireless/mobile intelligent technologies services in Japan, such as Intelligent Transport Systems (ITSs) (available today or in the pipeline), where a 'ubiquitous society' has become a common goal. One of the ways to reach ... Keywords: EMSs, ITS, Japan, driving safety, emergency medical services, intelligent technologies, intelligent transport systems, mobile communications, patient-user perspective, pedestrians, precrash safety, sensor networks, walking safety, wireless networks
Sed S. Saad
DOE O 5639.8A, Security of Foreign Intelligence Information and Sensitive Compartmented Information Facilities
Directives, Delegations, and Requirements
The order establishes responsibilities and authorities for protecting Foreign Intelligence Information (FII) and Sensitive Compartmented Information Facilities ...
Demonstration of Intelligent Control and Fan Improvements in Computer Room
Demonstration of Intelligent Control and Fan Improvements in Computer Room Demonstration of Intelligent Control and Fan Improvements in Computer Room Air Handlers Title Demonstration of Intelligent Control and Fan Improvements in Computer Room Air Handlers Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6007E Year of Publication 2012 Authors Coles, Henry C., Steve E. Greenberg, and Corrine Vita Document Number LBNL-6007E Date Published 12/2012 Publisher Lawrence Berkeley National Laboratory City Berkeley, CA Keywords air distribution, building technology and urban systems department, computer room air handler, crah control, data center, data center crah, ec fan, ecm, ecm fan, fan speed control, high tech and industrial systems group, plug fan, variable frequency drive, vfd, wireless control Abstract
Distributed Intelligent Agents for Decision Making at Local Distributed
Distributed Intelligent Agents for Decision Making at Local Distributed Distributed Intelligent Agents for Decision Making at Local Distributed Energy Resource (DER) Levels Speaker(s): David Cohen Date: June 3, 2005 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Peng Xu Our goals are to develop and commercialize a system of adaptive, intelligent software components which run at distributed locations (DER-level) on the energy network to improve the reliability, efficiency, and security of the U.S. electrical distribution network. We are developing GridAgents, an enabling software technology framework and platform using a distributed multi-agent systems approach for advanced communications and control capabilities (large- scale automated demand response, distribution automation control, and Microgrid control applications). For more
Stalker: overcoming linguistic barriers in open source intelligence
The revolution in information technology is making open sources more accessible, ubiquitous and valuable. The international intelligence communities have seen open sources become increasingly easier and cheaper to acquire in recent years. But up to 80% ... Keywords: ICT, Stalker, communications technology, content-enabling systems, cultural diversity, deep searching, distributed multimedia, dynamic classification, electronic data, encoded information, focused crawling, functional role labelling, heterogeneous data, hidden information, information technology, intelligence communities, internet, language-independent searches, languages, linguistic barriers, morpho-syntactic analysis, multilinguality, natural language processing, networks, online organisations, open source intelligence, raw data, semantic analysis, supervised clustering, textual analysis, textual synthesis, unclassified information, unstructured information, unsupervised clustering, virtual organisations, web based organisations, web mining, world wide web
Federico Neri; Paolo Geraci; Massimo Pettoni
natural language technology for information integration in business intelligence
Abstract. Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial risk, operational risk factors, follow trends and perform credit risk management. While traditional data mining tools make use of numerical data and cannot easily be applied to knowledge extracted from free text, traditional information extraction is either not adapted for the financial domain, or does not address the issue of information integration: the merging of information from different kinds of sources. We describe here the development of a system for content mining using domain ontologies, which enables the extraction of relevant information to be fed into models for analysis of financial and operational risk and other business intelligence applications such as company intelligence, by means of the XBRL standard. The results so far are of extremely high quality, due to the implementation of primarily high-precision rules.
Diana Maynard; Horacio Saggion; Milena Yankova; Wim Peters
Leveraging Intelligent Vehicle Technologies to Maximize Fuel Economy (Presentation)
Advancements in vehicle electronics, along with communication and sensing technologies, have led to a growing number of intelligent vehicle applications. Example systems include those for advanced driver information, route planning and prediction, driver assistance, and crash avoidance. The National Renewable Energy Laboratory is exploring ways to leverage intelligent vehicle systems to achieve fuel savings. This presentation discusses several potential applications, such as providing intelligent feedback to drivers on specific ways to improve their driving efficiency, and using information about upcoming driving to optimize electrified vehicle control strategies for maximum energy efficiency and battery life. The talk also covers the potential of Advanced Driver Assistance Systems (ADAS) and related technologies to deliver significant fuel savings in addition to providing safety and convenience benefits.
Gonder, J.
Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon
Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon University Speaker(s): Sila Kiliccote Date: March 16, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Francis Rubinstein The Robert L. Preger Intelligent Workplace (IW) at Carnegie Mellon University, which opened in December 1997, is a living laboratory designed to explore how new technologies and concepts can be applied to the built environment to improve building efficiency and human performance. The project's goals are to provide:1) User comfort and satisfaction; 2) Organizational Flexibility; 3) Technological Adaptability; and 4) Environmental Sustainability.At this unique site, the building systems integration issues posed a bigger challenge than expected. Most systems
An Intelligent Portfolio Management Approach to Gas Storage Field Deliverability Maintenance and
An Intelligent Portfolio Management Approach to Gas Storage Field Deliverability Maintenance. #12;Objective To modify and apply the state-of-the-art intelligent, optimum portfolio management Intelligence Tool can predict Skin with high confidence The Portfolio Management for re-stimulation candidate
Damping of low frequency oscillations in power system network using swarm intelligence tuned fuzzy controller
In this paper, a particle swarm intelligent optimisation based optimal fuzzy scheme has been developed to design intelligent adaptive controllers for improving the dynamic and transient stability performance of multimachine power system. This concept ... Keywords: PSO, PSS, adaptive control, dynamic stability, fuzzy control, intelligent control, low frequency oscillations, neural networks, neuro-fuzzy logic, particle swarm optimisation, power system stabiliser
N. Albert Singh; K. A. Muraleedharan; K. Gomathy
Corporate Information Systems Architecture for Business Intelligence Solutions B. S. Afolabi and S. Goria
.pdf Davis, J., Imhoff, C. & White, C. (2009). Operational Business Intelligence: The State of the Art1 BIDM: The Business Intelligence Development Model Catalina Sacu - firstname.lastname@example.com Marco Sciences, Utrecht University, 3508 TC, Utrecht, The Netherlands. #12;2 BIDM: The Business Intelligence
. The state of business intelligence in 2003. Internet, Maggio 2004. http fondamen- tale di un sistema di business intelligence, il data warehouse. Visto come una raccolta di dati, partendo dalla considerazione di Porter e Millar, i sistemi di business intelligence si legano alla attivit
Intelligent Transportation Systems: Saving Lives, Time and Money Portland State University
Intelligent Transportation Systems: Saving Lives, Time and Money Portland State University Oct 14, 2009 #12;Intelligent Transportation Systems: Saving Lives, Time and Money James Whiteneck #12;Intelligent Transportation Systems: Saving Lives, Time and Money Portal archives a large amount of data Over
1Intelligent Transportation Systems: Saving Lives, Time and Money PORTAL Advisory Committee
1Intelligent Transportation Systems: Saving Lives, Time and Money PORTAL Advisory Committee Initial Meeting January 22, 2009 #12;2Intelligent Transportation Systems: Saving Lives, Time and Money Agenda 9:00 Adjourn #12;3Intelligent Transportation Systems: Saving Lives, Time and Money What's in the PORTAL
Intelligent machine agent architecture for adaptive control optimization of manufacturing processes
Intelligent agents have been earmarked as the key enabling technology to provide the flexibility required by modern, competitive, customer-orientated manufacturing environments. Rational agent behavior is of paramount importance when interacting with ... Keywords: Agent architecture, Intelligent machining, Intelligent manufacturing, Process optimization
Grant H. Kruger; Albert J. Shih; Danie G. Hattingh; Theo I. van Niekerk
The Fuzzy Design of the Intelligent System for the Energy-Saving Lamps
In the paper, a intelligent system was proposed. It consists of variable converter and intelligent controller. Variable reactor which concludes variable reactance converter and power converter has wide applications in the soft starting, speed controlling ... Keywords: fuzzy control, variable reactor, intelligent control, power converter, Energy-Saving Lamps
Youxin Yuan; Kaihua Cui; Yiping Xiao; Tieliang Xu
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions
Swarm intelligence is a relatively novel field. It addresses the study of the collective behaviors of systems made by many components that coordinate using decentralized controls and self-organization. A large part of the research in swarm intelligence ... Keywords: Ant colony routing, Bee-inspired routing, Routing protocols, Swarm intelligence, Wireless sensor networks
Muhammad Saleem; Gianni A. Di Caro; Muddassar Farooq
An Overview of Quantum Teleportation for the Intelligence Community
Quantum teleportation is a communication protocol for the exchange of information between remotely separated parties. We survey some prominent applications of quantum teleportation that show potential for collecting and analyzing intelligence. In addition to a background review of the underlying principles, we highlight the use of quantum teleportation in quantum key distribution, long-distance quantum communication networks, and quantum computing. The latter applications are significant for the Intelligence Community as they show promise for cracking conventional public-key encryption systems and providing alternate key distribution systems that are secure against attack.
Humble, Travis S [ORNL
Intelligent Collection Environment for an Interpretation System
An Intelligent Collection Environment for a data interpretation system is described. The environment accepts two inputs: A data model and a number between 0.0 and 1.0. The data model is as simple as a single word or as complex as a multi-level/multidimensional model. The number between 0.0 and 1.0 is a control knob to indicate the user's desire to allow loose matching of the data (things are ambiguous and unknown) versus strict matching of the data (things are precise and known). The environment produces a set of possible interpretations, a set of requirements to further strengthen or to differentiate a particular subset of the possible interpretation from the others, a set of inconsistencies, and a logic map that graphically shows the lines of reasoning used to derive the above output. The environment is comprised of a knowledge editor, model explorer, expertise server, and the World Wide Web. The Knowledge Editor is used by a subject matter expert to define Linguistic Types, Term Sets, detailed explanations, and dynamically created URI's, and to create rule bases using a straight forward hyper matrix representation. The Model Explorer allows rapid construction and browsing of multi-level models. A multi-level model is a model whose elements may also be models themselves. The Expertise Server is an inference engine used to interpret the data submitted. It incorporates a semantic network knowledge representation, an assumption based truth maintenance system, and a fuzzy logic calculus. It can be extended by employing any classifier (e.g. statistical/neural networks) of complex data types. The World Wide Web is an unstructured data space accessed by the URI's supplied as part of the output of the environment. By recognizing the input data model as a query, the environment serves as a deductive search engine. Applications include (but are not limited to) interpretation of geophysical phenomena, a navigation aid for very large web sites, monitoring of computer or sensor networks, customer support, trouble shooting, and searching complex digital libraries (e.g. genome libraries).
Maurer, W J
Supply chain business intelligence: technologies, issues and trends
Supply chains are complex systems with silos of information that are very difficult to integrate and analyze. The best way to effectively analyze these disparate systems is the use of Business Intelligence (BI). The ability to make and then to process ...
Nenad Stefanovic; Dusan Stefanovic
Design and Application of Solar Water Heater Intelligent Control System
Solar water heater intelligent control system is made up of four modules which are data acquisition module, single-chip control module, the implementation and regulation module and human- machine interaction module. The problems of automatic detection ... Keywords: Solar Water Heater, Hardware Design, Detection and Control
Yu Gui Yin
Luminant Martin Lake Unit 3 Intelligent Sootblowing Test Report
A Clyde Bergemann Intelligent Sootblowing (ISB) system was recently installed at Luminant's Martin Lake Unit 3. This report compares the performance of the new ISB system to that of the previous boiler cleaning control system. Criteria monitored during the test included overall heat flux, cleanliness factors from thermodynamic modeling, ash weight, emissions, gas temperatures, and the number of daily sootblower and wallblower operations.
Hybrid rough sets intelligent system architecture for survival analysis
Survival analysis challenges researchers because of two issues. First, in practice, the studies do not span wide enough to collect all survival times of each individual patient. All of these patients require censor variables and cannot be analyzed without ... Keywords: Kaplan-Meier method, hybrid intelligent systems, reducts, rough sets, soft computing, survival analysis
Puntip Pattaraintakorn; Nick Cercone; Kanlaya Naruedomkul
PNWD-SA-6893 Instrumenting the Intelligence Analysis Process
the innovative Glass Box Analysis (GBA) Project to instrument a live intelligence mission and unobtrusively by GBA analysts working in the Glass Box. 1. Introduction The Glass Box is the hub project of NIMD be captured on- line from the analysts' workstation activities, much of the analytic process occurs off line
CMIEM: the computerised model for intelligent energy management
Nowadays, the observed high energy consumption in most of the enterprises and the increased environmental preservation required are a proof that the energy management is essential to be applied in the sectors of final demand. Energy management as a mean ... Keywords: DSS, energy audit, energy consumption, energy cost reduction, energy decision support systems, energy efficiency, energy indicators, intelligent energy management, mathematical modelling
Konstantinos D. Patlitzianas; Alexandra Papadopoulou; Alexandros Flamos; John Psarras
The increasing popularity of Web 2.0 has led to exponential growth of user-generated content in both volume and significance. One important type of user-generated content is the blog. Blogs encompass useful information (e.g., insightful product reviews and information-rich consumer communities) that could potentially be a gold mine for business intelligence, bringing great opportunities for both academic research and business applications. However, performing business intelligence on blogs is quite challenging because of the vast amount of information and the lack of commonly adopted methodology for effectively collecting and analyzing such information. In this paper, we propose a framework for gathering business intelligence from blogs by automatically collecting and analyzing blog contents and bloggers � interaction networks. Through a system developed using the framework, we conducted two case studies with one case focusing on a consumer product and the other on a company. Our case studies demonstrate how to use the framework and appropriate techniques to effectively collect, extract, and analyze blogs related to the topics of interest, reveal novel patterns in the blogger interactions and communities, and answer important business intelligence questions in the domains. The framework is sufficiently generic and can be applied to any topics of interest, organizations, and products. Future academic research and business applications related to the topics examined in the two cases can also be built using the findings of this study.
Michael Chau; Jennifer Xu
A Framework for Business Intelligence Application using Ontological Classification
Every business needs knowledge about their competitors to survive better. One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence.
Martin, A; Venkatesan, V Prasanna
An Ontology for Intelligent E-therapy for Obesity
In the last few years the use of medical and biomedical ontologies has increased considerably. It is very common to find applications and semantic webs using this kind of ontologies and a large number of papers have been written explaining why ontologies ... Keywords: Ontology, Obesity, intelligent e-therapy
From model-based strategies to intelligent control systems
This paper presents the evolution of control systems and trends in the field of integrated computer, communication and cognitive sciences for control applications. There have been selected and presented the most efficient control strategies used in complex ... Keywords: intelligent control systems, model-based systems
Ioan Dumitrache
Ambient Intelligence in Product Life-cycle Management
To fulfil the increasing demands today the short innovation time and the high quality of production itself is not enough in production of goods, but all phases of a product (from idea to recycling) should be managed by advanced tools and means. Nowadays ... Keywords: Ambient Intelligence, Product Life-cycle Management, Service engineering
G. Kov�cs; S. Kop�csi; G. Haidegger; R. Michelini
Ambient intelligence as enabling technology for modern business paradigms
Nowadays the competition among companies, joined to the environmental protection rules, is so compelling that they should not only be on the top of technology in they area, but also run their business according to life-long models. The emphasis on the ... Keywords: Ambient intelligence, Extended product, Knowledge-based systems, Maintenance, Product lifecycle management, Service engineering
S. Kop�csi; G. Kov�cs; A. Anufriev; R. Michelini
Modular Models of Intelligence � Review, Limitations and Prospects
AI applications are increasingly moving to modular agents, i.e., systems that independently handle parts of the problem based on small locally stored information (Grosz and Davis 1994), (Russell and Norvig 1995). Many such agents minimize inter-agent ... Keywords: behavior, cyclic conflicts, intelligent agents, modularity, reactivity
Amitabha Mukerjee; Amol Dattatraya Mali
Extracting Key Factors to Design Applications in Ambient Intelligence Environment
In an ambient intelligence environment, the design of applications influences the users behavior heavily. The purpose of this paper is to provide key factors considered necessary in developing those applications. We developed four applications applied ... Keywords: ambient feedback, persuasive technology, behavior modification, emotional engagement
Hiroaki Kimura; Tatsuo Nakajima
Plugin driven architecture for intelligent management of building
In the present work an innovative solution based on a middleware framework is introduced which simplifies the modeling of a software for intelligent management of buildings and allows a multistandard and multiprotocol integration of sensors and actuators. ... Keywords: building automation, model driven architecture
Alessandro Olivi; Roberto Borsini; Alessandro Bastari
iPlot : an intelligent lighting design assistant
iPlot is an intelligent lighting design assistant. Given a performance space and a set of lighting goals, each specifying an area to be lit and a direction, iPlot explores the space of possible light arrangements in search ...
Perelson, Andrew J., M. Eng. Massachusetts Institute of Technology
Universal rich presence framework for intelligent call management
Users employ a variety of devices and media to communicate with one another, each with its own peculiar characteristics. Managing several devices and identities is not easy, both for the user as well as for others who wish to call her. Switching devices ... Keywords: call routing, communication technologies, intelligent information management, rich presence, unified communication
Abhishek Prateek; Hridayesh Gupta; Sanjiva Prasad
Using geospatial business intelligence to support regional infrastructure governance
In many developed countries including Australia, infrastructure services at local and state levels are being provided by an increasing number of disjointed public and private agencies. There is an urgent need for an integrated view on the provision and ... Keywords: Australia, Geospatial Business Intelligence, Infrastructure services, Local governance, Smart Infrastructure Dashboard
Rohan Wickramasuriya, Jun Ma, Matthew Berryman, Pascal Perez
Planning roadside infrastructure for information dissemination in intelligent transportation systems
We consider an intelligent transportation system where a given number of infrastructured nodes (called Dissemination Points, DPs) have to be deployed for disseminating information to vehicles in an urban area. We formulate our problem as a Maximum Coverage ... Keywords: Maximum coverage, Network deployment, Vehicular networks
O. Trullols; M. Fiore; C. Casetti; C. F. Chiasserini; J. M. Barcelo Ordinas
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining techniques. Virtual reality spaces are used for providing unsupervised ... Keywords: Scleroderma disease, clustering, differential evolution, genetic programming, genomics, grid computing, hybrid evolutionary-classical optimization, particle swarm optimization, rough sets, similarity structure preservation, virtual reality spaces, visual data mining
Julio J. Valdes; Alan J. Barton
Proposing an Intelligent Cloud-Based Electronic Health Record System
With the aging United States population, healthcare costs have considerably increased and are expected to keep rising in the foreseeable future. In this paper, the authors propose an intelligent cloud-based electronic health record ICEHR system that ... Keywords: Clinical Decision Support System, Cloud Computing, Electronic Health Record System, Health Insurance Portability and Accountability Act of 1996 HIPAA, Privacy, Security
Lara Khansa; Jonathan Forcade; Girivaraprasad Nambari; Saravanan Parasuraman; Patrick Cox
Linear Wind Farm Layout Optimization through Computational Intelligence
The optimal positioning of wind turbines, even in one dimension, is a problem with no analytical solution. This article describes the application of computational intelligence techniques to solve this problem. A systematic analysis of the optimal positioning ... Keywords: Far Wake Effects, Genetic Algorithms, Optimization, Simulated Annealing, Sitting, Turbulence and Roughness Length, Wind Farm Layout, Wind Turbines
Jos�-Francisco Herbert-Acero; Jorge-Rodolfo Franco-Acevedo; Manuel Valenzuela-Rend�n; Oliver Probst-Oleszewski
Forecast Combinations of Computational Intelligence and Linear Models for the
Forecast Combinations of Computational Intelligence and Linear Models for the NN5 Time Series Forecasting competition Robert R. Andrawis Dept Computer Engineering Cairo University, Giza, Egypt email@example.com November 6, 2010 Abstract In this work we introduce a forecasting model with which we participated
Atiya, Amir
Intelligent human interface based on mental cloning-based software
This paper reports on our experience in adapting emotional experiences of the software engineers in the evolutionary design of software systems. This paper represents the progress report on the development relative to the state of art needed to have ... Keywords: Cognitive modeling, Facial analysis, Human computer interaction, Intelligent software, Software development, Sound analysis
Hamido Fujita; Jun Hakura; Masaki Kurematu
Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications
This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.
Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.
FUTURE POWER GRID INITIATIVE An Intelligent Agent Platform
. APPROACH » Change the way the electric power system is controlled and data is collected » Develop an agent software framework that adds intelligence to networked sensors in the electric power system n Real and efficient household energy usage. VOLTTRON is being demonstrated at the Autonomous Agents and Multiagent
EPRI Intelligent Universal Transformer (IUT TM): 2007 Progress Summary
The EPRI Intelligent Universal Transformer (IUT) is in the early stages of development. This device will serve as a multi-function replacement for conventional distribution transformers. The IUT will provide numerous system operating benefits and added functionality compared to conventional transformers. This report presents the project status and results as of the end of 2007.
International Conference on Structural Health Monitoring of Intelligent Infrastructure
growth adds to the demands on the water supply infrastructure. Utilities are faced with increasing costs structural failures in aging pipes, particularly at joints. For water utility operators, the ability of Intelligent Infrastructure Hong Kong | 9-11 December 2013 SENSOR NETWORKS FOR MONITORING
Entekhabi, Dara
Copyright 2006, Society of Petroleum Engineers This paper was prepared for presentation at the 2006 SPE Intelligent Energy Conference and
aerospace to automotive to household appliances) has been able to increase its products IQ (Intelligence
Artificial films mimic myelin sheath in new research
Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research This platform provides a model for robust implementation of phospholipid multilayers and a means toward future applications of functional phospholipid supramolecular assemblies in device integration. September 11, 2013 Schematic of robust hybrid model membrane Schematic of robust hybrid model membrane The journal ACS Nano published the research team's findings, and this is the first report of a hybrid and highly ordered phospholipid-based multilayer assembly that maintains its structure and fluid functionality upon incorporation into a synthetic inorganic matrix. Los Alamos researchers and collaborators recently synthesized and characterized highly ordered and stable phospholipid-silica thin films that
Lighting system combining daylight concentrators and an artificial source
A combined lighting system for a building interior includes a stack of luminescent solar concentrators (LSC), an optical conduit made of preferably optical fibers for transmitting daylight from the LSC stack, a collimating lens set at an angle, a fixture for receiving the daylight at one end and for distributing the daylight as illumination inside the building, an artificial light source at the other end of the fixture for directing artifical light into the fixture for distribution as illumination inside the building, an automatic dimmer/brightener for the artificial light source, and a daylight sensor positioned near to the LSC stack for controlling the automatic dimmer/brightener in response to the daylight sensed. The system also has a reflector positioned behind the artificial light source and a fan for exhausting heated air out of the fixture during summer and for forcing heated air into the fixture for passage into the building interior during winter.
Bornstein, Jonathan G. (Miami, FL); Friedman, Peter S. (Toledo, OH)
Neural Network Based Intelligent Sootblowing System
Cost effective generation of electricity is vital to the economic growth and stability of this nation. To accomplish this goal a balanced portfolio of fuel sources must be maintained and established which not only addresses the cost of conversion of these energy sources to electricity, but also does so in an efficient and environmentally sound manner. Conversion of coal as an energy source to produce steam for a variety of systems has been a cornerstone of modern industry. However, the use of coal in combustion systems has traditionally produced unacceptable levels of gaseous and particulate emissions, albeit that recent combustion, removal and mitigation techniques have drastically reduced these levels. With the combustion of coal there is always the formation and deposition of ash and slag within the boilers. This adversely affects the rate at which heat is transferred to the working fluid, which in the case of electric generators is water/steam. The fouling of the boiler leads to poor efficiencies due to the fact that heat which could normally be transferred to the working fluid remains in the flue gas stream and exits to the environment without beneficial use. This loss in efficiency translates to higher consumption of fuel for equivalent levels of electric generation; hence more gaseous emissions are also produced. Another less obvious problem exists with fouling of various sections of the boiler creating intense peak temperatures within and around the combustion zone. Total nitrogen oxides (NOx) generation is primarily a function of both ''fuel'' and ''thermal'' NOx production. Fuel NOx which generally comprises 20%-40% of the total NOx generated is predominantly influenced by the levels of oxygen present, while thermal NOx which comprises the balance is a function of temperature. As the fouling of the boiler increases and the rate of heat transfer decreases, peak temperatures increase as does the thermal NOx production. Due to the composition of coal, particulate matter is also a by-product of coal combustion. Modern day utility boilers are usually fitted with electrostatic precipitators to aid in the collection of particulate matter. Although extremely efficient, these devices are sensitive to rapid changes in inlet mass concentration as well as total mass loading. Traditionally, utility boilers are equipped with devices known as sootblowers, which use, steam, water or air to dislodge and clean the surfaces within the boiler and are operated based upon established rule or operator's judgment. Poor sootblowing regimes can influence particulate mass loading to the electrostatic precipitators. The project applied a neural network intelligent sootblowing system in conjunction with state-of-the-art controls and instruments to optimize the operation of a utility boiler and systematically control boiler slagging/fouling. This optimization process targeted reduction of NOx of 30%, improved efficiency of 2% and a reduction in opacity of 5%. The neural network system proved to be a non-invasive system which can readily be adapted to virtually any utility boiler. Specific conclusions from this neural network application are listed below. These conclusions should be used in conjunction with the specific details provided in the technical discussions of this report to develop a thorough understanding of the process.
Mark Rhode
Biomimetic approach to solar energy conversion: artificial photosynthesis
Results of efforts to devise apparatus and systems for using solar energy for chemical purposes by methods that mimic those used by photosynthetic organisms are reported. Sufficient progress has been made in the understanding of plant photosynthesis to make artificial photosynthesis a reasonable goal. Artificial photoreaction centers, the apparatus used by photosynthetic organisms for light energy conversion to chemical oxidizing and reducing capacity, have been made in the laboratory. The synthetic reaction centers mimic with remarkable fidelity the properties of their in vivo prototypes. Some of the formidable problems that must still be solved and the future prospects for biomimetic devices for solar energy conversion are discussed.
Katz, J.J.
Wireless Innovations as Enablers for Complex & Dynamic Artificial Systems
Scientific and technological innovations of the last few decades in the field of wireless telecommunications and networking have enabled a wide area of applications and services in healthcare, transportation, environmental protection, infotainment, industrial ... Keywords: Biology inspired, Cognitive network, Cognitive radio, Environmental risk management, ITS, Industrial automation, Intelligent city, MANET, MANET capacity, Middleware, Mobile sensor networks, Nanotechnology, Pervasive health, Physics inspired, Sensor network programming, Telematics, VANET, VSN, WSN, Wireless communications, Wireless networks
Spyridon Vassilaras; Gregory S. Yovanof
Design of artificial neural networks for distribution feeder loss analysis
To enhance the efficiency for power loss analysis of voluminous distribution feeders, ANN-based simplified power loss models with the Levenberg-Marquardt (LM) algorithm have been developed for overhead feeders and underground feeders, respectively. The ... Keywords: Artificial neural network, Customer information system, Levenberg-Marquardt algorithm, Outage management system
Tsung-En Lee; Chin-Ying Ho; Chia-Hung Lin; Meei-Song Kang
Coherent resonant tunneling through an artificial molecule C. A. Stafford
Coherent resonant tunneling through an artificial molecule C. A. Stafford Fakulta¨t fu¨r Physik PRB 58C. A. STAFFORD, R. KOTLYAR, AND S. DAS SARMA #12;Coulomb blockade12 for C Cg to a ballistic /e 1 follows from the particle-hole symmetry of Eq. 1 . 7094 PRB 58C. A. STAFFORD, R. KOTLYAR, AND S
Stafford, Charles
Artificial neural network in gaseous emissions prediction with bioreactor usage
The artificial neural network is used more and more often for prediction of processes related with the biowaste management. In this area, composting is one of the most important process of biowaste recycling. However, the gaseous emissions from the composted ... Keywords: composting, data acquisition, emissions, multilayer perceptron, neural modeling, prediction
Piotr Boniecki; Jacek Dach; Krzysztof Pilarski; Aleksander J?dru?; Krzysztof Nowakowski; Hanna Piekarska-Boniecka; Jacek Przyby?
Natural Versus Artificial Aging of Nuclear Power Plant Components
Examination of test specimens, placed in eight operating reactors during this study, will provide information on the long-term aging effects of plant environments on cabling and electrical components. Material property data, when compared with measured degradation in artificially aged specimens, will help improve predictions of the safe, useful life of plant equipment.
Performance Prediction of Solar Collectors Using Artificial Neural Networks
A new approach based on artificial neural network (ANN) was developed in this study to determine the performance of solar collectors. The experiments were performed under the meteorological conditions of Beijing. Performance parameters obtained from ... Keywords: ANN, solar collector, performance prediction
Hui Xie; Li Liu; Fei Ma; Huifang Fan
An Evolutionary Artificial Neural Network for Medical Pattern Classification
In this paper, a novel evolutionary artificial neural network based on the integration between Fuzzy ARTMAP (FAM) and a Hybrid Genetic Algorithm (HGA) is proposed for tackling medical pattern classification tasks. To assess the effectiveness of the proposed ... Keywords: Fuzzy ARTMAP, Hybrid Genetic Algorithms, Medical Decision Support, Pattern Classification
Shing Chiang Tan; Chee Peng Lim; Kay Sin Tan; Jose C. Navarro
Predict soil texture distributions using an artificial neural network model
High-resolution soil maps are important for planning agriculture crop production, forest management, hydrological analysis and environmental protection. However, high-resolution soil maps are generally only available for small areas because obtaining ... Keywords: Artificial neural network, Clay, DEM, High-resolution soil map, Sand, Soil texture
Zhengyong Zhao; Thien Lien Chow; Herb W. Rees; Qi Yang; Zisheng Xing; Fan-Rui Meng
Design of an artificial functional nanomaterial with high recognition ability
An artificial macromolecule was designed as a novel nanomaterial with the backbone of phosphodiester and the side chain of functional molecules and nucleobases. The functional molecules tethered on d-threoninol and the nucleosides on d-ribose can be ... Keywords: Hybridization, Nanomaterial, Nucleobase, Photoregulation, Recognition ability
Xingguo Liang; Toshio Mochizuki; Taiga Fujii; Hiromu Kashida; Hiroyuki Asanuma
Prediction of surface roughness using artificial neural network in lathe
In this study, the effect of tool geometry on surface roughness has been investigated in universal lathe. Machining process has been carried out on AISI 1040 steel in dry cutting condition using various insert geometry at depth of cut off 0.5 mm. At ... Keywords: artificial neural network, surface roughness, tool geometry
?akir Ta?demir; S�leyman Ne?eli; Ismail Sarita?; S�leyman Yaldiz
Artificial immune strategies improve the security of data storage
A novel artificial immune strategies based data storage model, called AIS-DS, is proposed for dealing with the problem of resources sharing in a storage area network (SAN). Especially for the multi-user's tasks, this technology has some essential ...
Lei Wang; Yinling Nie; Weike Nie; Licheng Jiao
Biological motifs designed using the principles of artificial life
Whereas digitalised art plants and animals have been designed using algorithms imitating the natural rules of creating a living being, in interactive media art, their virtual development, growth and death are simulated based on the visitors' interactivity. ... Keywords: GAs, artificial life, biological motifs, genetic algorithms, interactive media art, motif design, virtual worlds
Penesta Dika
Dynamic Model and Control of an Artificial Muscle Based on Contractile Polymers
A dynamic model and control system of an artificial muscle is presented. The artificial muscle is based on a contractile polymer gel which undergoes abrupt volume changes in response to variations in external conditions. ...
Brock, David L.
Interplay of oxygen-evolution kinetics and photovoltaic power curves on the construction of artificial leaves
An artificial leaf can perform direct solar-to-fuels conversion. The construction of an efficient artificial leaf or other photovoltaic (PV)-photoelectrochemical device requires that the power curve of the PV material and ...
Surendranath, Yogesh
1 BIDM: The Business Intelligence Development Model Catalina Sacu-
Abstract: Business Intelligence (BI) has been a very dynamic and popular field of research in the last few years as it helps organizations in making better decisions and increasing their profitability. This paper aims at creating some structure in the BI field of research by creating a BI development framework that relates the current BI development stages and their main characteristics. This framework can be used by organizations to identify their current BI stage and reach the desired one. 1. Introduction: BI & Maturity Modelling In nowadays economy, organizations have a lot of information to gather and process in order to be able to take the best decisions as fast as possible (Misner et al., 2002). One of the solutions that can improve the decision making process is Business Intelligence (BI). According to (Gray & Negash, 2003), BI systems �combine data gathering, data storage, and knowledge management
Marco Spruit; Marco Spruit
A Framework for the Systematic Collection of Open Source Intelligence
Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique system for selecting, collecting and storing Open Source data from the Web and the Open Source Center. Some data management tasks are automated, document source is retained, and metadata containing geographical coordinates are added to the documents. Analysts are thus empowered to search, view, store, and analyze Web data within a single tool. We present ORCAT I and ORCAT II, two implementations of the system.
Pouchard, Line Catherine [ORNL; Trien, Joseph P [ORNL; Dobson, Jonathan D [ORNL
An Information Visualization Approach to Intelligent Building Assessment
This paper presents a Knowledge-oriented Information Visualization (KIV) approach to facilitating the implementation of building rating systems such as the Asian Intelligent Building Index (AIIB) for the post-assessment of Intelligent Buildings (IBs). The KIV approach is introduced by using a prototype of KIV for IB assessment. The KIV model consists of several toolkits, including an IB Casebase for the Applications of Sustainable Technology (called IB-CAST), a web-oriented information visualization toolkit for IB assessment using Microsoft Office (called IB-Radar and IB-Compass), and a Geographical Information System (GIS) toolkit for bridging knowledge (called IB-GIS) in IB assessment, etc. A case study is used to demonstrate how the KIV approach can be applied to support IB assessment.
Hong, J.; Chen, Z.; Li, H.; Xu, Q.
Wavelet filter for noise reduction and signal compression in an artificial nose
This work presents results of the use of a wavelet filter for noise reduction and data compression of signals generated by artificial nose sensors. To verify the performance of the wavelet analysis in the treatment of odor patterns, we compare two widely ... Keywords: Artificial neural networks, Artificial noses, Wavelet transform
C. Zanchettin; T. B. Ludermir
A framework for developing a mimetic tensor artificial viscosity for Lagrangian hydrocodes on arbitrary polygonal meshes
We construct a new mimetic tensor artificial viscosity on general polygonal meshes. The tensor artificial viscosity is based on discretization of coordinate invariant operators, divergence of a tensor and gradient of a vector. The focus of this paper ... Keywords: Artificial numerical viscosity, Lagrangian hydrodynamics, Polygonal meshes
K. Lipnikov; M. Shashkov
Testing of Safety-Critical Software Embedded in an Artificial Heart
Testing of Safety-Critical Software Embedded in an Artificial Heart Sungdeok Cha1 , Sehun Jeong1 frequently to control medical devices such as artificial heart or robotic surgery system. While much (KAOC). It is a state-of-the-art artificial heart which completed animal testing phase. We per- formed
Strategic Intelligence Update: Smart Grid Conferences and Events
The EPRI Smart Grid Demonstration Project produces its Strategic Intelligence Update to inform members of updates and key points from Smart Grid conferences and events attended by EPRI staff, utility members, and key stakeholders. Member contributions are appreciated. If you are attending a Smart-Grid-related event or conference and would like to contribute to this newsletter, please contact Brian Green, 865-218-8141, email@example.com, for a template to document your trip report for inclusion in the next ...
Strategic Intelligence Update - Smart Grid Conferences and Events
The EPRI Smart Grid Demonstration Project produces its Strategic Intelligence Update to inform members of updates and key points from Smart Grid conferences and events attended by EPRI staff, utility members, and key stakeholders. Member contributions are appreciated. If you are attending a Smart-Grid-related event or conference and would like to contribute to this newsletter, please contact Brian Green, 865-218-8141, firstname.lastname@example.com, for a template to document your trip report for inclusion in the ...
The misguided reaction: reconsidering intelligence flow before 11 September 2001
This research examines the story of 11 September 2001 from an organizational communication perspective. Discourse after the event pointed to "communication difficulties" as a scapegoat for the intelligence community's failure. These analyses are misguided. Therefore, I examine our government's answer to communication difficulties--more bureaucracy. The many communication hindrances associated with bureaucracy are discussed as reasons to rethink our government's reaction. Finally, further research and recommendations are discussed.
Prothro, John Samuel
Profiling and Mapping of Intelligent Grid R&D Programs
This report is the first of its kind to analyze research and development (R&D) programs whose goal is to improve the intelligence of the electric power infrastructure. The study assesses ten selected grid R&D programs, characterizing their vision, mission, governance, budget and funds spent to date, promotion activities, and technical program portfolio, including main objectives, completed or ongoing projects, deliverables, and accomplishments.
Intelligent Sootblowing at NRG Texas W. A. Parish Plant
This is the final report on the NRG Texas W. A. Parish Intelligent Sootblowing (ISB) project. The objective of the project, which began in 2000, was to test and demonstrate ISB and related technologies on four units at Parish. Three EPRI interim reports have been published, one each in 2002, 2003, and 2004. This final report summarizes those reports, discusses the project scope, describes the configuration of the ISB systems, details system performance evaluation methods and test procedures, provides res...
Intelligent power management in micro grids with EV penetration
Large deployment of Electric Vehicles (EVs) adds new challenges in the operation of a microgrid. Assuming that a number of EV owners allow their batteries to charge when their cars are parked, this paper proposes an approach that aims to find suitable ... Keywords: Artificial immune system, Decentralized control, Electric vehicles, Microgrid, Multi agent system, Power management
Bhuvaneswari Ramachandran, Sanjeev K. Srivastava, David A. Cartes
Knowledge discovery by an intelligent approach using complex fuzzy sets
In the age of rapidly increasing volumes of data, human experts have come to the urgent need to extract useful information from the huge amount of data. Knowldege discovery in databases has obtained much attention for researches and applications in business ... Keywords: artificial bee colony (ABC), complex fuzzy set (CFS), complex neuro-fuzzy system (CNFS), knowledge discovery, recursive least squares estimator (RLSE)
Chunshien Li; Feng-Tse Chan
Intelligent acoustic rotor speed estimation for an autonomous helicopter
Acoustic sensing to gather information about a machine can be highly beneficial, but processing the data can be difficult. In this work, a variety of methodologies have been studied to extract rotor speed information from the sound signature of an autonomous ... Keywords: Acoustic sensing, Adaptive network-based fuzzy inference system, Artificial neural network, Feature selection, Genetic algorithm, Helicopter, Rotor speeds
Benjamin N. Passow; Mario A. Gongora; Adrian A. Hopgood; Sophy Smith
Use of hybrid intelligent computing in mineral resources evaluation
Mineral resources are a formal quantification of naturally occurring materials. Estimation of resource parameters such as grade and thickness may be carried out using different methodologies. In this paper, a soft methodology, which is artificial neural ... Keywords: Fuzzy-neural network, Grade estimation, Hybrid modelling, Mineral resource
B. Tutmez
Intelligent Efficiency: the Next Generation of Energy Efficiency
Information and communication technologies (ICT) and their enabling technologies are responsible for a significant portion of energy efficiency improvements in the past decade. Sensors and controls, the internet, and semiconductor technologies have already changed the way we use energy and interact with other people: how we work, shop, and have fun. But that is only the start. As highly efficient technologies begin to interact with each other and respond in real time to their environment, there will be a structural change in how we use energy. This paper explores the next generation of energy efficiency: what we call intelligent efficiency. Building on recent work in this area, this paper will define intelligent efficiency and provide specific case studies to illustrate its impact. This paper will focus on the manufacturing sector, but examples include commercial building energy management, industrial automation, and transportation infrastructure. This paper will discuss how these technologies work together synergistically to reach new levels of efficiency, allowing us to not only save energy, but to improve the economy and create jobs. Finally, the paper will identify barriers and policy solutions to intelligent efficiency achieving even greater savings and economic benefits.
Trombley,D.; Molina, M.; Elliot, R. N.
Intelligent Cruise Control design based on a traffic flow specification
The principal objectives of the Automated Highway graphics. System (AHS), an Intelligent Transportation System (ITS) technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control Systems (AVCS) play a key role in traffic automation. Central to the Development of AVCS for vehicles is the design of an Intelligent Cruise Control (ICC) system that automates the task of maintaining a safe following distance. A properly designed ICC system has the potential to smooth traffic flows and increase the traffic flow capacity of the existing highway. Near term applications of AVCS cannot rely on communication between vehicles to maintain a safe following system. In an Autonomous Intelligent Cruise Control (AICC) Systems, the throttle and brake are controlled by a computer based on onboard sensory information, and the steering task is manually controlled. AICC systems proposed so far do not consider their impact on the traffic flow stability. In this thesis, an AICC system is synthesized from a traffic flow specification on stability and capacity. Analytical results of this thesis are verified by numerical simulations.
Huandra, Rusli
Intelligent weather agent for aircraft severe weather avoidance
Severe weather conditions pose a large threat to the safety of aircraft, since they are responsible for a large percentage of aviation related accidents. With the advent of the free flight environment, the exigency for an autonomous severe weather avoidance capability has increased. In this thesis, an intelligent weather agent is developed for general aviation aircraft. Using a radar image from an onboard weather radar, the intelligent weather agent determines the safest path around severe weather with a minimum detour in distance. The method used is the Simplified Memory Bounded A* search technique that reduces computation time and memory requirements. The algorithm for A* search using the heuristic function is initially developed and evaluated in non-real-time form using Matlab, and demonstrated to be reliable and fast in flight path re-routing for stationary thunderstorms as well as moving thunderstorms. It is extended into a real-time version coded in Borland C++, and integrated with the existing Simplified Flight Management System and coupled with the heading command and hold autopilot of the nonlinear, non-real-time, six degrees-of-freedom Engineering Flight Simulator. Test cases consisting of stationary and moving thunderstorms are used to evaluate the intelligent weather agent online, in real-time. Results demonstrate that the new path suggested by the algorithm developed in this thesis is about 1% to 25% longer than the original path depending upon the size of the thunderstorm that lies in the original path. The detours in the test cases ranged from about 1 mile to 11 miles over and above the original path length. The algorithm did not exhibit any critical failures in the test cases and proved to be robust. The intelligent weather agent, when integrated with the Simplified Flight Management System and coupled with the heading command and hold autopilot, provides an effective and reliable guidance and navigation system for generating safe, alternate flight paths around thunderstorms and squall lines. It also forms the basis for the severe weather agent component of a broader hierarchical intelligent agent based system for free-flight guidance.
Bokadia, Sangeeta
a year, with a TOU tariff, energy minimization, and demanda year, with a TOU tariff, energy minimization, and demandtariff, the intelligent system is capable of improving energy
The role of intelligent machines on the future battlefield, circa 2030.
??The application of Intelligent Machine (IM) technology to the battlefield in future has the potential to revolutionise warfare. Converging trends and incentives are propelling this� (more)
Morton, Ben Robert
A new hybrid computational intelligence algorithm for optimized vehicle routing applications in geographic information systems.
??This project explores the application of two developing algorithmic paradigms from the field of computational intelligence towards optimized vehicle routing applications within geographic information systems� (more)
Rice, Michael Norris
1.212J / ESD.221J An Introduction to Intelligent Transportation Systems, Spring 2003
Basic elements of intelligent transportation systems. Technological, systems, and institutional aspects of ITS considered, including system architecture, congestion pricing, public/private partnerships, network models, ITS ...
Sussman, Joseph
Intelligent street lighting application for electric power distribution systems the business case for smartgrid technology.
??This research project builds upon previous work related to intelligent and energy efficient lighting in modern street and outdoor lighting systems. The concept of implementing� (more)
Davis, Wesley O'Brian Sr.
Measuring speech intelligibility in K�5 classrooms in a Seattle public school
A speech intelligibility pilot study is being conducted in primary school classrooms in Seattle. The properties of a number of unoccupied
Dean Heerwagen; Karen Anderson; Dale Lang; Robin Towne
DOE O 5670.1A, Management and Control of Foreign Intelligence
The order provides for the management of and assign responsibilities for foreign intelligence activities of DOE. Cancels DOE 5670.1.
Organizational Culture's Contributions to Security Failures within the United States Intelligence Community.
??The institutions that comprise the United States intelligence community have organizational cultures that are unique from other government agencies. These cultures encourage the development and� (more)
Mouton, Troy Michael
Synthetic nanotubes lay foundation for new technology: Artificial pores
Synthetic nanotubes lay foundation for new technology: Artificial pores Synthetic nanotubes lay foundation for new technology: Artificial pores mimic key features of natural pores By Tona Kunz * July 17, 2012 Tweet EmailPrint Scientists have overcome key design hurdles to expand the potential uses of nanopores and nanotubes. The creation of smart nanotubes with selective mass transport opens up a wider range of applications for water purification, chemical separation and fighting disease. Nanopores and their rolled up version, nanotubes, consist of atoms bonded to each other in a hexagonal pattern to create an array of nanometer-scale openings or channels. This structure creates a filter that can be sized to select which molecules and ions pass into drinking water or into a cell. The same filter technique can limit the release of chemical by-products
A Master equation approach to modeling an artificial protein motor
Linear bio-molecular motors move unidirectionally along a track by coordinating several different processes, such as fuel (ATP) capture, hydrolysis, conformational changes, binding and unbinding from a track, and center-of-mass diffusion. A better understanding of the interdependencies between these processes, which take place over a wide range of different time scales, would help elucidate the general operational principles of molecular motors. Artificial molecular motors present a unique opportunity for such a study because motor structure and function are a priori known. Here we describe use of a Master equation approach, integrated with input from Langevin and molecular dynamics modeling, to stochastically model a molecular motor across many time scales. We apply this approach to a specific concept for an artificial protein motor, the Tumbleweed.
Kuwada, Nathan J; Linke, Heiner
Nathan J. Kuwada; Gerhard A. Blab; Heiner Linke
Artificial Skin Ridges Enhance Local Tactile Shape Discrimination
One of the fundamental requirements for an artificial hand to successfully grasp and manipulate an object is to be able to distinguish different objects' shapes and, more specifically, the objects' surface curvatures. In this study, we investigate the possibility of enhancing the curvature detection of embedded tactile sensors by proposing a ridged fingertip structure, simulating human fingerprints. In addition, a curvature detection approach based on machine learning methods is proposed to provide the embedded sensors with the ability to discriminate the surface curvature of different objects. For this purpose, a set of experiments were carried out to collect tactile signals from a 2 \\times 2 tactile sensor array, then the signals were processed and used for learning algorithms. To achieve the best possible performance for our machine learning approach, three different learning algorithms of Na\\"ive Bayes (NB), Artificial Neural Networks (ANN), and Support Vector Machines (SVM) were implemented and compared ...
Salehi, Saba; Ge, Shuzhi Sam; 10.3390/s110908626
Ultrafast QND measurements based on diamond-shape artificial atom
We propose a Quantum Non Demolition (QND) read-out scheme for a superconducting artificial atom coupled to a resonator in a circuit QED architecture, for which we estimate a very high measurement fidelity without Purcell effect limitations. The device consists of two transmons coupled by a large inductance, giving rise to a diamond-shape artificial atom with a logical qubit and an ancilla qubit interacting through a cross-Kerr like term. The ancilla is strongly coupled to a transmission line resonator. Depending on the qubit state, the ancilla is resonantly or dispersively coupled to the resonator, leading to a large contrast in the transmitted microwave signal amplitude. This original method can be implemented with state of the art Josephson parametric amplifier, leading to QND measurements in a few tens of nanoseconds with fidelity as large as 99.9 %.
I. Diniz; E. Dumur; O. Buisson; A. Auff�ves
Chaos and Nonlinear Dynamics in a Quantum Artificial Economy
Chaos and nonlinear economic dynamics are addressed for a quantum coupled map lattice model of an artificial economy, with quantized supply and demand equilibrium conditions. The measure theoretic properties and the patterns that emerge in both the economic business volume dynamics' diagrams as well as in the quantum mean field averages are addressed and conclusions are drawn in regards to the application of quantum chaos theory to address signatures of chaotic dynamics in relevant discrete economic state variables.
Gon�alves, Carlos Pedro
Carlos Pedro Gon�alves
Electricity price short-term forecasting using artificial neural networks
This paper presents the System Marginal Price (SMP) short-term forecasting implementation using the Artificial Neural Networks (ANN) computing technique. The described approach uses the three-layered ANN paradigm with back-propagation. The retrospective SMP real-world data, acquired from the deregulated Victorian power system, was used for training and testing the ANN. The results presented in this paper confirm considerable value of the ANN based approach in forecasting the SMP.
Szkuta, B.R.; Sanabria, L.A.; Dillon, T.S. [La Trobe Univ., Melbourne (Australia). Applied Computing Research Inst.
Reliably detecting the cosmic microwave background (CMB) anisotropy is of great importance in understanding the birth and evolution of the universe. One of the difficulties in CMB experiments is the domination of measured CMB anisotropy maps by the Doppler dipole moment from the motion of the antenna relative to the CMB. For each measured temperature, the expected dipole component has to be calculated separately and then subtracted from the data. A small error in dipole direction, antenna pointing direction, sidelobe pickup contamination, and/or timing synchronism can introduce a significant deviation in the dipole-cleaned CMB temperature. After a full-sky observational scan, the accumulated deviations will be structured with a pattern closely correlated with the observation pattern with artificial anisotropies, including artificial quadrupole, octupole, etc., on large scales in the final CMB map. Such scan-induced anisotropies on large scales can be predicted by the true dipole moment and observational scan scheme. Indeed, the expected scan-induced quadrupole pattern of the Wilkinson Microwave Anisotropy Probe (WMAP) mission is perfectly in agreement with the published WMAP quadrupole. With the scan strategy of the Planck mission, we predict that scan-induced anisotropies will also produce an artificially aligned quadrupole. The scan-induced anisotropy is a common problem for all sweep missions and, like the foreground emissions, has to be removed from observed maps. Without doing so, CMB maps from COBE, WMAP, and Planck are not reliable for studying the CMB anisotropy.
Liu Hao; Li Tipei, E-mail: email@example.com, E-mail: firstname.lastname@example.com [Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing (China)
An Adaptive Landscape Classification Procedure using Geoinformatics and Artificial Neural Networks
The Adaptive Landscape Classification Procedure (ALCP), which links the advanced geospatial analysis capabilities of Geographic Information Systems (GISs) and Artificial Neural Networks (ANNs) and particularly Self-Organizing Maps (SOMs), is proposed as a method for establishing and reducing complex data relationships. Its adaptive and evolutionary capability is evaluated for situations where varying types of data can be combined to address different prediction and/or management needs such as hydrologic response, water quality, aquatic habitat, groundwater recharge, land use, instrumentation placement, and forecast scenarios. The research presented here documents and presents favorable results of a procedure that aims to be a powerful and flexible spatial data classifier that fuses the strengths of geoinformatics and the intelligence of SOMs to provide data patterns and spatial information for environmental managers and researchers. This research shows how evaluation and analysis of spatial and/or temporal patterns in the landscape can provide insight into complex ecological, hydrological, climatic, and other natural and anthropogenic-influenced processes. Certainly, environmental management and research within heterogeneous watersheds provide challenges for consistent evaluation and understanding of system functions. For instance, watersheds over a range of scales are likely to exhibit varying levels of diversity in their characteristics of climate, hydrology, physiography, ecology, and anthropogenic influence. Furthermore, it has become evident that understanding and analyzing these diverse systems can be difficult not only because of varying natural characteristics, but also because of the availability, quality, and variability of spatial and temporal data. Developments in geospatial technologies, however, are providing a wide range of relevant data, and in many cases, at a high temporal and spatial resolution. Such data resources can take the form of high-dimensional data arrays, which can difficult to fully use. Establishing relationships among high-dimensional datasets through neurocomputing based patterning methods can help 1) resolve large volumes of data into a meaningful form; 2) provide an approach for inferring landscape processes in areas that have limited data available but that exhibit similar landscape characteristics; and 3) discover the value of individual variables or groups of variables that contribute to specific processes in the landscape.
Coleman, Andre M.
Precision Micro Assembly Precision Micro Assembly In optoelectronics and optomechanics manufacturing, precision assembly of increasingly small devices has become a critical capability. Microscopic machines are the focus of the Intelligent Systems, Robotics, & Cybernetics (ISRC) Precision Micro Assembly Lab. Created to investigate the automated assembly of microelectromechanical (MEMS) components, the laboratory is developing technologies for a robotic workcell that can assemble MEMS parts 10 to 100 microns in size, about the diameter of a human hair, into tiny machines for use in weapons components, surveillance devices, and microsurgery. micro Technical Challenges A major limiting factor in micro machine technology is the assembly process. Manual assembly is cost prohibitive and requires a level of
Analyzing Vehicle Fuel Saving Opportunities through Intelligent Driver Feedback
Alternative Fuels and Advanced Vehicles Data Center (EERE)
NREL/CP-5400-53864.Posted with permission. NREL/CP-5400-53864.Posted with permission. Presented at the 2012 SAE World Congress, 24-26 April 2012, Detroit, Michigan 2012-01-0494 Analyzing Vehicle Fuel Saving Opportunities Published through Intelligent Driver Feedback 04/16/2012 Jeffrey Gonder, Matthew Earleywine and Witt Sparks National Renewable Energy Laboratory doi:10.4271/2012-01-0494 ABSTRACT While it is well known that "MPG will vary" based on how one drives, little independent research exists on the aggregate
Web data extraction for business intelligence: the lixto approach
Abstract: Knowledge about market developments and competitor activities on the market becomes more and more a critical success factor for enterprises. The World Wide Web provides public domain information which can be retrieved for example from Web sites or online shops. The extraction from semi-structured information sources is mostly done manually and is therefore very time consuming. This paper describes how public information can be extracted automatically from Web sites, transformed into structured data formats, and used for data analysis in Business Intelligence systems.
Robert Baumgartner; Oliver Fr�lich; Georg Gottlob; Patrick Harz; Marcus Herzog; Peter Lehmann; Tu Wien
Optimization of Biogas Production with Computational Intelligence A Comparative Study ?
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which leads to a highly complex simulation and optimization problem. A comparison of several algorithms from computational intelligence to solve this problem is presented in this study. The sequential parameter optimization was used to determine improved parameter settings for these algorithms in an automated manner. We demonstrate that genetic algorithm and particle swarm optimization based approaches were outperformed by differential evolution and covariance matrix adaptation evolution strategy. Compared to previously presented results, our approach required only one tenth of the number of function evaluations. 1
J�rg Ziegenhirt; Thomas Bartz-beielstein; Oliver Flasch; Wolfgang Konen; Martin Zaefferer
Intelligent lighting control principles. Report for oct 78-apr 79
It is generally recognized that compared to illumination from ceiling-mounted electric lighting, an equal amount of daylight illumination from windows can be about three times more effective in producing visibility. If this is true, then visibility-based lighting controls will result in greater energy conservation than will illumination-based lighting controls. A mathematical technique has been developed suitable for an intelligent microprocessor-based equi-visibility lighting control system. In an example room, a computer simulation compares the energy consumption for on-off, high-low-off, equi-illumination, and equi-visibility lighting controls systems.
Pierpoint, W.
Aspects of Entertainment Distribution in an Intelligent Home Environment
The paper presents an implementation and tests of a simple home entertainment distribution architecture (server + multiple clients) implemented using two conventional cabling architectures: CATV coaxial cable and conventional Ethernet. This architecture is created taking into account the "Home gateway" concept present in most attempts to solve the problem of the "Intelligent home". A short presentation of the experimental is given with an investigation of the main performances obtained using this architecture. The experiments revealed that this simple solution makes possible to have entertainment and data services with performances close to traditional data services in a cost-effective architecture
Arsinte, Radu
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A multi-functional platform for implementing intelligent and ubiquitous functions of smart substations under SCADA
For more efficient and economical management of substations under SCADA (Supervisory Control and Data Acquisition) systems, the concept of a smart substation has been introduced using intelligent and ubiquitous IT (Information Technology) techniques. ... Keywords: Embedded platform, Intelligent system, SCADA system, Smart substations, Ubiquitous
Hak-Man Kim; Jong-Joo Lee; Myong-Chul Shin; Seok-Soo Kim